Remove coverage report from html folder and integrate in doc
This commit is contained in:
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f5cb46ee29
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46064262FD9A7ADE
10
Makefile
10
Makefile
@ -133,8 +133,13 @@ coverage: ## Run tests and generate coverage report (build/index.html)
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@echo ">>> Done";
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viewcoverage: ## View the html coverage report
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@which $(genhtml) || (echo ">>> Please install lcov (genhtml not found)"; exit 1)
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@$(genhtml) $(f_debug)/tests/coverage.info --demangle-cpp --output-directory html --title "BayesNet Coverage Report" -s -k -f --legend >/dev/null 2>&1;
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@which $(genhtml) >/dev/null || (echo ">>> Please install lcov (genhtml not found)"; exit 1)
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@if [ ! -d $(docsrcdir)/coverage ]; then mkdir -p $(docsrcdir)/coverage; fi
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@if [ ! -f $(f_debug)/tests/coverage.info ]; then \
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echo ">>> No coverage.info file found. Run make coverage first!"; \
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exit 1; \
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fi
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@$(genhtml) $(f_debug)/tests/coverage.info --demangle-cpp --output-directory $(docsrcdir)/coverage --title "BayesNet Coverage Report" -s -k -f --legend >/dev/null 2>&1;
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@xdg-open html/index.html || open html/index.html 2>/dev/null
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@echo ">>> Done";
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@ -151,6 +156,7 @@ updatebadge: ## Update the coverage badge in README.md
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doc: ## Generate documentation
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@echo ">>> Generating documentation..."
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@cmake --build $(f_release) -t doxygen
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@cp -rp diagrams $(docsrcdir)
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@echo ">>> Done";
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docdir = ""
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@ -89,7 +89,7 @@ make sample fname=tests/data/glass.arff
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### [Manual](https://rmontanana.github.io/bayesnet/)
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### [Coverage report](docs/coverage.pdf)
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### [Coverage report](https://rmontanana.github.io/bayesnet/coverage/index.html)
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## Diagrams
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@ -950,6 +950,7 @@ WARN_LOGFILE =
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# Note: If this tag is empty the current directory is searched.
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INPUT = /Users/rmontanana/Code/BayesNet/bayesnet
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INPUT += /Users/rmontanana/Code/BayesNet/README.md
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# This tag can be used to specify the character encoding of the source files
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# that doxygen parses. Internally doxygen uses the UTF-8 encoding. Doxygen uses
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@ -1174,7 +1175,7 @@ FILTER_SOURCE_PATTERNS =
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# (index.html). This can be useful if you have a project on for instance GitHub
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# and want to reuse the introduction page also for the doxygen output.
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USE_MDFILE_AS_MAINPAGE =
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USE_MDFILE_AS_MAINPAGE = README.md
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# The Fortran standard specifies that for fixed formatted Fortran code all
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# characters from position 72 are to be considered as comment. A common
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@ -1424,7 +1425,8 @@ HTML_EXTRA_STYLESHEET =
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# files will be copied as-is; there are no commands or markers available.
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# This tag requires that the tag GENERATE_HTML is set to YES.
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HTML_EXTRA_FILES =
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HTML_EXTRA_FILES = /Users/rmontanana/Code/BayesNet/diagrams
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HTML_EXTRA_FILES += /Users/rmontanana/Code/BayesNet/logo.png
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# The HTML_COLORSTYLE tag can be used to specify if the generated HTML output
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# should be rendered with a dark or light theme.
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Binary file not shown.
BIN
html/amber.png
BIN
html/amber.png
Binary file not shown.
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Before Width: | Height: | Size: 141 B |
@ -1,90 +0,0 @@
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<html lang="en">
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<head>
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<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
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<title>LCOV - BayesNet Coverage Report - bayesnet/BaseClassifier.h - functions</title>
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<link rel="stylesheet" type="text/css" href="../gcov.css">
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</head>
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<body>
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<table width="100%" border=0 cellspacing=0 cellpadding=0>
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<tr><td class="title">LCOV - code coverage report</td></tr>
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<tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
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<tr>
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<td width="100%">
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<table cellpadding=1 border=0 width="100%">
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<tr>
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<td width="10%" class="headerItem">Current view:</td>
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<td width="10%" class="headerValue"><a href="../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet</a> - BaseClassifier.h<span style="font-size: 80%;"> (<a href="BaseClassifier.h.gcov.html">source</a> / functions)</span></td>
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<td width="5%"></td>
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<td width="5%"></td>
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<td width="5%" class="headerCovTableHead">Coverage</td>
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<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
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<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
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</tr>
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<tr>
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<td class="headerItem">Test:</td>
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<td class="headerValue">BayesNet Coverage Report</td>
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<td></td>
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<td class="headerItem">Lines:</td>
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<td class="headerCovTableEntryHi">100.0 %</td>
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<td class="headerCovTableEntry">1</td>
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<td class="headerCovTableEntry">1</td>
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</tr>
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<tr>
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<td class="headerItem">Test Date:</td>
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<td class="headerValue">2024-05-06 17:54:04</td>
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<td></td>
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<td class="headerItem">Functions:</td>
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<td class="headerCovTableEntryHi">100.0 %</td>
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<td class="headerCovTableEntry">1</td>
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<td class="headerCovTableEntry">1</td>
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</tr>
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<tr>
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<td class="headerItem">Legend:</td>
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<td class="headerValueLeg"> Lines:
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<span class="coverLegendCov">hit</span>
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<span class="coverLegendNoCov">not hit</span>
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</td>
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<td></td>
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</tr>
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<tr><td><img src="../glass.png" width=3 height=3 alt=""></td></tr>
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</table>
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</td>
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</tr>
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<tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
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</table>
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<center>
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<table cellpadding=1 cellspacing=1 border=0>
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<tr><td><br></td></tr>
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<tr>
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<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><a href="BaseClassifier.h.func.html"><img src="../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
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<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><img src="../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
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</tr>
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<tr>
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<td class="coverFn"><a href="BaseClassifier.h.gcov.html#L19">bayesnet::BaseClassifier::~BaseClassifier()</a></td>
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<td class="coverFnHi">1680</td>
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</tr>
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</table>
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<br>
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</center>
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<table width="100%" border=0 cellspacing=0 cellpadding=0>
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<tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
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<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
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</table>
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<br>
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</body>
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</html>
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@ -1,90 +0,0 @@
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<html lang="en">
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<head>
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<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
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<title>LCOV - BayesNet Coverage Report - bayesnet/BaseClassifier.h - functions</title>
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<link rel="stylesheet" type="text/css" href="../gcov.css">
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</head>
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<body>
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<table width="100%" border=0 cellspacing=0 cellpadding=0>
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<tr><td class="title">LCOV - code coverage report</td></tr>
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<tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
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<tr>
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<td width="100%">
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<table cellpadding=1 border=0 width="100%">
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<tr>
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<td width="10%" class="headerItem">Current view:</td>
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<td width="10%" class="headerValue"><a href="../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet</a> - BaseClassifier.h<span style="font-size: 80%;"> (<a href="BaseClassifier.h.gcov.html">source</a> / functions)</span></td>
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<td width="5%"></td>
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<td width="5%"></td>
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<td width="5%" class="headerCovTableHead">Coverage</td>
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<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
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<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
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</tr>
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<tr>
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<td class="headerItem">Test:</td>
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<td class="headerValue">BayesNet Coverage Report</td>
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<td></td>
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<td class="headerItem">Lines:</td>
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<td class="headerCovTableEntryHi">100.0 %</td>
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<td class="headerCovTableEntry">1</td>
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<td class="headerCovTableEntry">1</td>
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</tr>
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<tr>
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<td class="headerItem">Test Date:</td>
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<td class="headerValue">2024-05-06 17:54:04</td>
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<td></td>
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<td class="headerItem">Functions:</td>
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<td class="headerCovTableEntryHi">100.0 %</td>
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<td class="headerCovTableEntry">1</td>
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<td class="headerCovTableEntry">1</td>
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</tr>
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<tr>
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<td class="headerItem">Legend:</td>
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<td class="headerValueLeg"> Lines:
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<span class="coverLegendCov">hit</span>
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<span class="coverLegendNoCov">not hit</span>
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</td>
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<td></td>
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</tr>
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<tr><td><img src="../glass.png" width=3 height=3 alt=""></td></tr>
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</table>
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</td>
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</tr>
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<tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
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</table>
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<center>
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<table cellpadding=1 cellspacing=1 border=0>
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<tr><td><br></td></tr>
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<tr>
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<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><img src="../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
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<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><a href="BaseClassifier.h.func-c.html"><img src="../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
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</tr>
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<tr>
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<td class="coverFn"><a href="BaseClassifier.h.gcov.html#L19">bayesnet::BaseClassifier::~BaseClassifier()</a></td>
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<td class="coverFnHi">1680</td>
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</tr>
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</table>
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<br>
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</center>
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<table width="100%" border=0 cellspacing=0 cellpadding=0>
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<tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
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<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
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</table>
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<br>
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</body>
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</html>
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@ -1,19 +0,0 @@
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
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<html lang="en">
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<head>
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<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
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<title>LCOV - BayesNet Coverage Report - bayesnet/BaseClassifier.h</title>
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<link rel="stylesheet" type="text/css" href="../gcov.css">
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</head>
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<frameset cols="120,*">
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<frame src="BaseClassifier.h.gcov.overview.html" name="overview">
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<frame src="BaseClassifier.h.gcov.html" name="source">
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<noframes>
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<center>Frames not supported by your browser!<br></center>
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</noframes>
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</frameset>
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</html>
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@ -1,129 +0,0 @@
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<html lang="en">
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<head>
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<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
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<title>LCOV - BayesNet Coverage Report - bayesnet/BaseClassifier.h</title>
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<link rel="stylesheet" type="text/css" href="../gcov.css">
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</head>
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<body>
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<table width="100%" border=0 cellspacing=0 cellpadding=0>
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<tr><td class="title">LCOV - code coverage report</td></tr>
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<tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
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<tr>
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<td width="100%">
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<table cellpadding=1 border=0 width="100%">
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<tr>
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<td width="10%" class="headerItem">Current view:</td>
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<td width="10%" class="headerValue"><a href="../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet</a> - BaseClassifier.h<span style="font-size: 80%;"> (source / <a href="BaseClassifier.h.func-c.html">functions</a>)</span></td>
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<td width="5%"></td>
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<td width="5%"></td>
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<td width="5%" class="headerCovTableHead">Coverage</td>
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<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
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<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
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</tr>
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<tr>
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<td class="headerItem">Test:</td>
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<td class="headerValue">BayesNet Coverage Report</td>
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<td></td>
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<td class="headerItem">Lines:</td>
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<td class="headerCovTableEntryHi">100.0 %</td>
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<td class="headerCovTableEntry">1</td>
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<td class="headerCovTableEntry">1</td>
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</tr>
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<tr>
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<td class="headerItem">Test Date:</td>
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<td class="headerValue">2024-05-06 17:54:04</td>
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<td></td>
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<td class="headerItem">Functions:</td>
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<td class="headerCovTableEntryHi">100.0 %</td>
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<td class="headerCovTableEntry">1</td>
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<td class="headerCovTableEntry">1</td>
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</tr>
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<tr>
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<td class="headerItem">Legend:</td>
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<td class="headerValueLeg"> Lines:
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<span class="coverLegendCov">hit</span>
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<span class="coverLegendNoCov">not hit</span>
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</td>
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<td></td>
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</tr>
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<tr><td><img src="../glass.png" width=3 height=3 alt=""></td></tr>
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</table>
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</td>
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</tr>
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<tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
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</table>
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<table cellpadding=0 cellspacing=0 border=0>
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<tr>
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<td><br></td>
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</tr>
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<tr>
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<td>
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<pre class="sourceHeading"> Line data Source code</pre>
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<pre class="source">
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<span id="L1"><span class="lineNum"> 1</span> : // ***************************************************************</span>
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<span id="L2"><span class="lineNum"> 2</span> : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
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<span id="L3"><span class="lineNum"> 3</span> : // SPDX-FileType: SOURCE</span>
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<span id="L4"><span class="lineNum"> 4</span> : // SPDX-License-Identifier: MIT</span>
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<span id="L5"><span class="lineNum"> 5</span> : // ***************************************************************</span>
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<span id="L6"><span class="lineNum"> 6</span> : </span>
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<span id="L7"><span class="lineNum"> 7</span> : #pragma once</span>
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<span id="L8"><span class="lineNum"> 8</span> : #include <vector></span>
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<span id="L9"><span class="lineNum"> 9</span> : #include <torch/torch.h></span>
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<span id="L10"><span class="lineNum"> 10</span> : #include <nlohmann/json.hpp></span>
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<span id="L11"><span class="lineNum"> 11</span> : namespace bayesnet {</span>
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<span id="L12"><span class="lineNum"> 12</span> : enum status_t { NORMAL, WARNING, ERROR };</span>
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<span id="L13"><span class="lineNum"> 13</span> : class BaseClassifier {</span>
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<span id="L14"><span class="lineNum"> 14</span> : public:</span>
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<span id="L15"><span class="lineNum"> 15</span> : // X is nxm std::vector, y is nx1 std::vector</span>
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<span id="L16"><span class="lineNum"> 16</span> : virtual BaseClassifier& fit(std::vector<std::vector<int>>& X, std::vector<int>& y, const std::vector<std::string>& features, const std::string& className, std::map<std::string, std::vector<int>>& states) = 0;</span>
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<span id="L17"><span class="lineNum"> 17</span> : // X is nxm tensor, y is nx1 tensor</span>
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<span id="L18"><span class="lineNum"> 18</span> : virtual BaseClassifier& fit(torch::Tensor& X, torch::Tensor& y, const std::vector<std::string>& features, const std::string& className, std::map<std::string, std::vector<int>>& states) = 0;</span>
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<span id="L19"><span class="lineNum"> 19</span> : virtual BaseClassifier& fit(torch::Tensor& dataset, const std::vector<std::string>& features, const std::string& className, std::map<std::string, std::vector<int>>& states) = 0;</span>
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<span id="L20"><span class="lineNum"> 20</span> : virtual BaseClassifier& fit(torch::Tensor& dataset, const std::vector<std::string>& features, const std::string& className, std::map<std::string, std::vector<int>>& states, const torch::Tensor& weights) = 0;</span>
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<span id="L21"><span class="lineNum"> 21</span> <span class="tlaGNC tlaBgGNC"> 1680 : virtual ~BaseClassifier() = default;</span></span>
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<span id="L22"><span class="lineNum"> 22</span> : torch::Tensor virtual predict(torch::Tensor& X) = 0;</span>
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<span id="L23"><span class="lineNum"> 23</span> : std::vector<int> virtual predict(std::vector<std::vector<int >>& X) = 0;</span>
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<span id="L24"><span class="lineNum"> 24</span> : torch::Tensor virtual predict_proba(torch::Tensor& X) = 0;</span>
|
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<span id="L25"><span class="lineNum"> 25</span> : std::vector<std::vector<double>> virtual predict_proba(std::vector<std::vector<int >>& X) = 0;</span>
|
||||
<span id="L26"><span class="lineNum"> 26</span> : status_t virtual getStatus() const = 0;</span>
|
||||
<span id="L27"><span class="lineNum"> 27</span> : float virtual score(std::vector<std::vector<int>>& X, std::vector<int>& y) = 0;</span>
|
||||
<span id="L28"><span class="lineNum"> 28</span> : float virtual score(torch::Tensor& X, torch::Tensor& y) = 0;</span>
|
||||
<span id="L29"><span class="lineNum"> 29</span> : int virtual getNumberOfNodes()const = 0;</span>
|
||||
<span id="L30"><span class="lineNum"> 30</span> : int virtual getNumberOfEdges()const = 0;</span>
|
||||
<span id="L31"><span class="lineNum"> 31</span> : int virtual getNumberOfStates() const = 0;</span>
|
||||
<span id="L32"><span class="lineNum"> 32</span> : int virtual getClassNumStates() const = 0;</span>
|
||||
<span id="L33"><span class="lineNum"> 33</span> : std::vector<std::string> virtual show() const = 0;</span>
|
||||
<span id="L34"><span class="lineNum"> 34</span> : std::vector<std::string> virtual graph(const std::string& title = "") const = 0;</span>
|
||||
<span id="L35"><span class="lineNum"> 35</span> : virtual std::string getVersion() = 0;</span>
|
||||
<span id="L36"><span class="lineNum"> 36</span> : std::vector<std::string> virtual topological_order() = 0;</span>
|
||||
<span id="L37"><span class="lineNum"> 37</span> : std::vector<std::string> virtual getNotes() const = 0;</span>
|
||||
<span id="L38"><span class="lineNum"> 38</span> : std::string virtual dump_cpt()const = 0;</span>
|
||||
<span id="L39"><span class="lineNum"> 39</span> : virtual void setHyperparameters(const nlohmann::json& hyperparameters) = 0;</span>
|
||||
<span id="L40"><span class="lineNum"> 40</span> : std::vector<std::string>& getValidHyperparameters() { return validHyperparameters; }</span>
|
||||
<span id="L41"><span class="lineNum"> 41</span> : protected:</span>
|
||||
<span id="L42"><span class="lineNum"> 42</span> : virtual void trainModel(const torch::Tensor& weights) = 0;</span>
|
||||
<span id="L43"><span class="lineNum"> 43</span> : std::vector<std::string> validHyperparameters;</span>
|
||||
<span id="L44"><span class="lineNum"> 44</span> : };</span>
|
||||
<span id="L45"><span class="lineNum"> 45</span> : }</span>
|
||||
</pre>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
@ -1,32 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
|
||||
|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<title>LCOV - BayesNet Coverage Report - bayesnet/BaseClassifier.h</title>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
||||
<link rel="stylesheet" type="text/css" href="../gcov.css">
|
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</head>
|
||||
|
||||
<body>
|
||||
<map name="overview">
|
||||
<area shape="rect" coords="0,0,79,3" href="BaseClassifier.h.gcov.html#L1" target="source" alt="overview">
|
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<area shape="rect" coords="0,4,79,7" href="BaseClassifier.h.gcov.html#L1" target="source" alt="overview">
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<area shape="rect" coords="0,8,79,11" href="BaseClassifier.h.gcov.html#L1" target="source" alt="overview">
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<area shape="rect" coords="0,44,79,47" href="BaseClassifier.h.gcov.html#L33" target="source" alt="overview">
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</map>
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<center>
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<a href="BaseClassifier.h.gcov.html#top" target="source">Top</a><br><br>
|
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<img src="BaseClassifier.h.gcov.png" width=80 height=44 alt="Overview" border=0 usemap="#overview">
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</center>
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</body>
|
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</html>
|
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Binary file not shown.
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@ -1,251 +0,0 @@
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<html lang="en">
|
||||
|
||||
<head>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
||||
<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Classifier.cc - functions</title>
|
||||
<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
||||
</head>
|
||||
|
||||
<body>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="title">LCOV - code coverage report</td></tr>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
|
||||
<tr>
|
||||
<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
||||
<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - Classifier.cc<span style="font-size: 80%;"> (<a href="Classifier.cc.gcov.html">source</a> / functions)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">126</td>
|
||||
<td class="headerCovTableEntry">126</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">24</td>
|
||||
<td class="headerCovTableEntry">24</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
|
||||
<center>
|
||||
<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
||||
<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><a href="Classifier.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
|
||||
|
||||
<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L182">bayesnet::Classifier::dump_cpt[abi:cxx11]() const</a></td>
|
||||
|
||||
<td class="coverFnHi">4</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L178">bayesnet::Classifier::topological_order[abi:cxx11]()</a></td>
|
||||
|
||||
<td class="coverFnHi">4</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L101">bayesnet::Classifier::predict(std::vector<std::vector<int, std::allocator<int> >, std::allocator<std::vector<int, std::allocator<int> > > >&)</a></td>
|
||||
|
||||
<td class="coverFnHi">16</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L142">bayesnet::Classifier::score(std::vector<std::vector<int, std::allocator<int> >, std::allocator<std::vector<int, std::allocator<int> > > >&, std::vector<int, std::allocator<int> >&)</a></td>
|
||||
|
||||
<td class="coverFnHi">16</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L170">bayesnet::Classifier::getNumberOfStates() const</a></td>
|
||||
|
||||
<td class="coverFnHi">24</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L149">bayesnet::Classifier::show[abi:cxx11]() const</a></td>
|
||||
|
||||
<td class="coverFnHi">24</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L186">bayesnet::Classifier::setHyperparameters(nlohmann::json_abi_v3_11_3::basic_json<std::map, std::vector, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, bool, long, unsigned long, double, std::allocator, nlohmann::json_abi_v3_11_3::adl_serializer, std::vector<unsigned char, std::allocator<unsigned char> >, void> const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">92</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L137">bayesnet::Classifier::score(at::Tensor&, at::Tensor&)</a></td>
|
||||
|
||||
<td class="coverFnHi">112</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L47">bayesnet::Classifier::fit(at::Tensor&, at::Tensor&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&)</a></td>
|
||||
|
||||
<td class="coverFnHi">128</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L55">bayesnet::Classifier::fit(std::vector<std::vector<int, std::allocator<int> >, std::allocator<std::vector<int, std::allocator<int> > > >&, std::vector<int, std::allocator<int> >&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&)</a></td>
|
||||
|
||||
<td class="coverFnHi">136</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L166">bayesnet::Classifier::getNumberOfEdges() const</a></td>
|
||||
|
||||
<td class="coverFnHi">332</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L161">bayesnet::Classifier::getNumberOfNodes() const</a></td>
|
||||
|
||||
<td class="coverFnHi">332</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L28">bayesnet::Classifier::buildDataset(at::Tensor&)</a></td>
|
||||
|
||||
<td class="coverFnHi">340</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L174">bayesnet::Classifier::getClassNumStates() const</a></td>
|
||||
|
||||
<td class="coverFnHi">348</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L122">bayesnet::Classifier::predict_proba(std::vector<std::vector<int, std::allocator<int> >, std::allocator<std::vector<int, std::allocator<int> > > >&)</a></td>
|
||||
|
||||
<td class="coverFnHi">548</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L72">bayesnet::Classifier::fit(at::Tensor&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&, at::Tensor const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">660</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L66">bayesnet::Classifier::fit(at::Tensor&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&)</a></td>
|
||||
|
||||
<td class="coverFnHi">852</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L115">bayesnet::Classifier::predict_proba(at::Tensor&)</a></td>
|
||||
|
||||
<td class="coverFnHi">1484</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L153">bayesnet::Classifier::addNodes()</a></td>
|
||||
|
||||
<td class="coverFnHi">1576</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L42">bayesnet::Classifier::trainModel(at::Tensor const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">1576</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L12">bayesnet::Classifier::build(std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&, at::Tensor const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">1760</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L77">bayesnet::Classifier::checkFitParameters()</a></td>
|
||||
|
||||
<td class="coverFnHi">1760</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L94">bayesnet::Classifier::predict(at::Tensor&)</a></td>
|
||||
|
||||
<td class="coverFnHi">1844</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L10">bayesnet::Classifier::Classifier(bayesnet::Network)</a></td>
|
||||
|
||||
<td class="coverFnHi">2240</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
</center>
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
@ -1,251 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
|
||||
|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
||||
<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Classifier.cc - functions</title>
|
||||
<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
||||
</head>
|
||||
|
||||
<body>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="title">LCOV - code coverage report</td></tr>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
|
||||
<tr>
|
||||
<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
||||
<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - Classifier.cc<span style="font-size: 80%;"> (<a href="Classifier.cc.gcov.html">source</a> / functions)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">126</td>
|
||||
<td class="headerCovTableEntry">126</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">24</td>
|
||||
<td class="headerCovTableEntry">24</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
|
||||
<center>
|
||||
<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
||||
<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
|
||||
|
||||
<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><a href="Classifier.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L10">bayesnet::Classifier::Classifier(bayesnet::Network)</a></td>
|
||||
|
||||
<td class="coverFnHi">2240</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L153">bayesnet::Classifier::addNodes()</a></td>
|
||||
|
||||
<td class="coverFnHi">1576</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L12">bayesnet::Classifier::build(std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&, at::Tensor const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">1760</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L28">bayesnet::Classifier::buildDataset(at::Tensor&)</a></td>
|
||||
|
||||
<td class="coverFnHi">340</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L77">bayesnet::Classifier::checkFitParameters()</a></td>
|
||||
|
||||
<td class="coverFnHi">1760</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L182">bayesnet::Classifier::dump_cpt[abi:cxx11]() const</a></td>
|
||||
|
||||
<td class="coverFnHi">4</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L47">bayesnet::Classifier::fit(at::Tensor&, at::Tensor&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&)</a></td>
|
||||
|
||||
<td class="coverFnHi">128</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L66">bayesnet::Classifier::fit(at::Tensor&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&)</a></td>
|
||||
|
||||
<td class="coverFnHi">852</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L72">bayesnet::Classifier::fit(at::Tensor&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&, at::Tensor const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">660</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L55">bayesnet::Classifier::fit(std::vector<std::vector<int, std::allocator<int> >, std::allocator<std::vector<int, std::allocator<int> > > >&, std::vector<int, std::allocator<int> >&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&)</a></td>
|
||||
|
||||
<td class="coverFnHi">136</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L174">bayesnet::Classifier::getClassNumStates() const</a></td>
|
||||
|
||||
<td class="coverFnHi">348</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L166">bayesnet::Classifier::getNumberOfEdges() const</a></td>
|
||||
|
||||
<td class="coverFnHi">332</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L161">bayesnet::Classifier::getNumberOfNodes() const</a></td>
|
||||
|
||||
<td class="coverFnHi">332</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L170">bayesnet::Classifier::getNumberOfStates() const</a></td>
|
||||
|
||||
<td class="coverFnHi">24</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L94">bayesnet::Classifier::predict(at::Tensor&)</a></td>
|
||||
|
||||
<td class="coverFnHi">1844</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L101">bayesnet::Classifier::predict(std::vector<std::vector<int, std::allocator<int> >, std::allocator<std::vector<int, std::allocator<int> > > >&)</a></td>
|
||||
|
||||
<td class="coverFnHi">16</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L115">bayesnet::Classifier::predict_proba(at::Tensor&)</a></td>
|
||||
|
||||
<td class="coverFnHi">1484</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L122">bayesnet::Classifier::predict_proba(std::vector<std::vector<int, std::allocator<int> >, std::allocator<std::vector<int, std::allocator<int> > > >&)</a></td>
|
||||
|
||||
<td class="coverFnHi">548</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L137">bayesnet::Classifier::score(at::Tensor&, at::Tensor&)</a></td>
|
||||
|
||||
<td class="coverFnHi">112</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L142">bayesnet::Classifier::score(std::vector<std::vector<int, std::allocator<int> >, std::allocator<std::vector<int, std::allocator<int> > > >&, std::vector<int, std::allocator<int> >&)</a></td>
|
||||
|
||||
<td class="coverFnHi">16</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L186">bayesnet::Classifier::setHyperparameters(nlohmann::json_abi_v3_11_3::basic_json<std::map, std::vector, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, bool, long, unsigned long, double, std::allocator, nlohmann::json_abi_v3_11_3::adl_serializer, std::vector<unsigned char, std::allocator<unsigned char> >, void> const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">92</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L149">bayesnet::Classifier::show[abi:cxx11]() const</a></td>
|
||||
|
||||
<td class="coverFnHi">24</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L178">bayesnet::Classifier::topological_order[abi:cxx11]()</a></td>
|
||||
|
||||
<td class="coverFnHi">4</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.cc.gcov.html#L42">bayesnet::Classifier::trainModel(at::Tensor const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">1576</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
</center>
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
@ -1,19 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
|
||||
|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
||||
<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Classifier.cc</title>
|
||||
<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
||||
</head>
|
||||
|
||||
<frameset cols="120,*">
|
||||
<frame src="Classifier.cc.gcov.overview.html" name="overview">
|
||||
<frame src="Classifier.cc.gcov.html" name="source">
|
||||
<noframes>
|
||||
<center>Frames not supported by your browser!<br></center>
|
||||
</noframes>
|
||||
</frameset>
|
||||
|
||||
</html>
|
||||
@ -1,278 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
|
||||
|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
||||
<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Classifier.cc</title>
|
||||
<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
||||
</head>
|
||||
|
||||
<body>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="title">LCOV - code coverage report</td></tr>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
|
||||
<tr>
|
||||
<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
||||
<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - Classifier.cc<span style="font-size: 80%;"> (source / <a href="Classifier.cc.func-c.html">functions</a>)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">126</td>
|
||||
<td class="headerCovTableEntry">126</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">24</td>
|
||||
<td class="headerCovTableEntry">24</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
|
||||
<table cellpadding=0 cellspacing=0 border=0>
|
||||
<tr>
|
||||
<td><br></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>
|
||||
<pre class="sourceHeading"> Line data Source code</pre>
|
||||
<pre class="source">
|
||||
<span id="L1"><span class="lineNum"> 1</span> : // ***************************************************************</span>
|
||||
<span id="L2"><span class="lineNum"> 2</span> : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
|
||||
<span id="L3"><span class="lineNum"> 3</span> : // SPDX-FileType: SOURCE</span>
|
||||
<span id="L4"><span class="lineNum"> 4</span> : // SPDX-License-Identifier: MIT</span>
|
||||
<span id="L5"><span class="lineNum"> 5</span> : // ***************************************************************</span>
|
||||
<span id="L6"><span class="lineNum"> 6</span> : </span>
|
||||
<span id="L7"><span class="lineNum"> 7</span> : #include <sstream></span>
|
||||
<span id="L8"><span class="lineNum"> 8</span> : #include "bayesnet/utils/bayesnetUtils.h"</span>
|
||||
<span id="L9"><span class="lineNum"> 9</span> : #include "Classifier.h"</span>
|
||||
<span id="L10"><span class="lineNum"> 10</span> : </span>
|
||||
<span id="L11"><span class="lineNum"> 11</span> : namespace bayesnet {</span>
|
||||
<span id="L12"><span class="lineNum"> 12</span> <span class="tlaGNC tlaBgGNC"> 2240 : Classifier::Classifier(Network model) : model(model), m(0), n(0), metrics(Metrics()), fitted(false) {}</span></span>
|
||||
<span id="L13"><span class="lineNum"> 13</span> : const std::string CLASSIFIER_NOT_FITTED = "Classifier has not been fitted";</span>
|
||||
<span id="L14"><span class="lineNum"> 14</span> <span class="tlaGNC"> 1760 : Classifier& Classifier::build(const std::vector<std::string>& features, const std::string& className, std::map<std::string, std::vector<int>>& states, const torch::Tensor& weights)</span></span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> : {</span>
|
||||
<span id="L16"><span class="lineNum"> 16</span> <span class="tlaGNC"> 1760 : this->features = features;</span></span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC"> 1760 : this->className = className;</span></span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> <span class="tlaGNC"> 1760 : this->states = states;</span></span>
|
||||
<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC"> 1760 : m = dataset.size(1);</span></span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 1760 : n = features.size();</span></span>
|
||||
<span id="L21"><span class="lineNum"> 21</span> <span class="tlaGNC"> 1760 : checkFitParameters();</span></span>
|
||||
<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC"> 1728 : auto n_classes = states.at(className).size();</span></span>
|
||||
<span id="L23"><span class="lineNum"> 23</span> <span class="tlaGNC"> 1728 : metrics = Metrics(dataset, features, className, n_classes);</span></span>
|
||||
<span id="L24"><span class="lineNum"> 24</span> <span class="tlaGNC"> 1728 : model.initialize();</span></span>
|
||||
<span id="L25"><span class="lineNum"> 25</span> <span class="tlaGNC"> 1728 : buildModel(weights);</span></span>
|
||||
<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC"> 1728 : trainModel(weights);</span></span>
|
||||
<span id="L27"><span class="lineNum"> 27</span> <span class="tlaGNC"> 1712 : fitted = true;</span></span>
|
||||
<span id="L28"><span class="lineNum"> 28</span> <span class="tlaGNC"> 1712 : return *this;</span></span>
|
||||
<span id="L29"><span class="lineNum"> 29</span> : }</span>
|
||||
<span id="L30"><span class="lineNum"> 30</span> <span class="tlaGNC"> 340 : void Classifier::buildDataset(torch::Tensor& ytmp)</span></span>
|
||||
<span id="L31"><span class="lineNum"> 31</span> : {</span>
|
||||
<span id="L32"><span class="lineNum"> 32</span> : try {</span>
|
||||
<span id="L33"><span class="lineNum"> 33</span> <span class="tlaGNC"> 340 : auto yresized = torch::transpose(ytmp.view({ ytmp.size(0), 1 }), 0, 1);</span></span>
|
||||
<span id="L34"><span class="lineNum"> 34</span> <span class="tlaGNC"> 1052 : dataset = torch::cat({ dataset, yresized }, 0);</span></span>
|
||||
<span id="L35"><span class="lineNum"> 35</span> <span class="tlaGNC"> 340 : }</span></span>
|
||||
<span id="L36"><span class="lineNum"> 36</span> <span class="tlaGNC"> 16 : catch (const std::exception& e) {</span></span>
|
||||
<span id="L37"><span class="lineNum"> 37</span> <span class="tlaGNC"> 16 : std::stringstream oss;</span></span>
|
||||
<span id="L38"><span class="lineNum"> 38</span> <span class="tlaGNC"> 16 : oss << "* Error in X and y dimensions *\n";</span></span>
|
||||
<span id="L39"><span class="lineNum"> 39</span> <span class="tlaGNC"> 16 : oss << "X dimensions: " << dataset.sizes() << "\n";</span></span>
|
||||
<span id="L40"><span class="lineNum"> 40</span> <span class="tlaGNC"> 16 : oss << "y dimensions: " << ytmp.sizes();</span></span>
|
||||
<span id="L41"><span class="lineNum"> 41</span> <span class="tlaGNC"> 16 : throw std::runtime_error(oss.str());</span></span>
|
||||
<span id="L42"><span class="lineNum"> 42</span> <span class="tlaGNC"> 32 : }</span></span>
|
||||
<span id="L43"><span class="lineNum"> 43</span> <span class="tlaGNC"> 680 : }</span></span>
|
||||
<span id="L44"><span class="lineNum"> 44</span> <span class="tlaGNC"> 1576 : void Classifier::trainModel(const torch::Tensor& weights)</span></span>
|
||||
<span id="L45"><span class="lineNum"> 45</span> : {</span>
|
||||
<span id="L46"><span class="lineNum"> 46</span> <span class="tlaGNC"> 1576 : model.fit(dataset, weights, features, className, states);</span></span>
|
||||
<span id="L47"><span class="lineNum"> 47</span> <span class="tlaGNC"> 1576 : }</span></span>
|
||||
<span id="L48"><span class="lineNum"> 48</span> : // X is nxm where n is the number of features and m the number of samples</span>
|
||||
<span id="L49"><span class="lineNum"> 49</span> <span class="tlaGNC"> 128 : Classifier& Classifier::fit(torch::Tensor& X, torch::Tensor& y, const std::vector<std::string>& features, const std::string& className, std::map<std::string, std::vector<int>>& states)</span></span>
|
||||
<span id="L50"><span class="lineNum"> 50</span> : {</span>
|
||||
<span id="L51"><span class="lineNum"> 51</span> <span class="tlaGNC"> 128 : dataset = X;</span></span>
|
||||
<span id="L52"><span class="lineNum"> 52</span> <span class="tlaGNC"> 128 : buildDataset(y);</span></span>
|
||||
<span id="L53"><span class="lineNum"> 53</span> <span class="tlaGNC"> 120 : const torch::Tensor weights = torch::full({ dataset.size(1) }, 1.0 / dataset.size(1), torch::kDouble);</span></span>
|
||||
<span id="L54"><span class="lineNum"> 54</span> <span class="tlaGNC"> 208 : return build(features, className, states, weights);</span></span>
|
||||
<span id="L55"><span class="lineNum"> 55</span> <span class="tlaGNC"> 120 : }</span></span>
|
||||
<span id="L56"><span class="lineNum"> 56</span> : // X is nxm where n is the number of features and m the number of samples</span>
|
||||
<span id="L57"><span class="lineNum"> 57</span> <span class="tlaGNC"> 136 : Classifier& Classifier::fit(std::vector<std::vector<int>>& X, std::vector<int>& y, const std::vector<std::string>& features, const std::string& className, std::map<std::string, std::vector<int>>& states)</span></span>
|
||||
<span id="L58"><span class="lineNum"> 58</span> : {</span>
|
||||
<span id="L59"><span class="lineNum"> 59</span> <span class="tlaGNC"> 136 : dataset = torch::zeros({ static_cast<int>(X.size()), static_cast<int>(X[0].size()) }, torch::kInt32);</span></span>
|
||||
<span id="L60"><span class="lineNum"> 60</span> <span class="tlaGNC"> 976 : for (int i = 0; i < X.size(); ++i) {</span></span>
|
||||
<span id="L61"><span class="lineNum"> 61</span> <span class="tlaGNC"> 3360 : dataset.index_put_({ i, "..." }, torch::tensor(X[i], torch::kInt32));</span></span>
|
||||
<span id="L62"><span class="lineNum"> 62</span> : }</span>
|
||||
<span id="L63"><span class="lineNum"> 63</span> <span class="tlaGNC"> 136 : auto ytmp = torch::tensor(y, torch::kInt32);</span></span>
|
||||
<span id="L64"><span class="lineNum"> 64</span> <span class="tlaGNC"> 136 : buildDataset(ytmp);</span></span>
|
||||
<span id="L65"><span class="lineNum"> 65</span> <span class="tlaGNC"> 128 : const torch::Tensor weights = torch::full({ dataset.size(1) }, 1.0 / dataset.size(1), torch::kDouble);</span></span>
|
||||
<span id="L66"><span class="lineNum"> 66</span> <span class="tlaGNC"> 240 : return build(features, className, states, weights);</span></span>
|
||||
<span id="L67"><span class="lineNum"> 67</span> <span class="tlaGNC"> 992 : }</span></span>
|
||||
<span id="L68"><span class="lineNum"> 68</span> <span class="tlaGNC"> 852 : Classifier& Classifier::fit(torch::Tensor& dataset, const std::vector<std::string>& features, const std::string& className, std::map<std::string, std::vector<int>>& states)</span></span>
|
||||
<span id="L69"><span class="lineNum"> 69</span> : {</span>
|
||||
<span id="L70"><span class="lineNum"> 70</span> <span class="tlaGNC"> 852 : this->dataset = dataset;</span></span>
|
||||
<span id="L71"><span class="lineNum"> 71</span> <span class="tlaGNC"> 852 : const torch::Tensor weights = torch::full({ dataset.size(1) }, 1.0 / dataset.size(1), torch::kDouble);</span></span>
|
||||
<span id="L72"><span class="lineNum"> 72</span> <span class="tlaGNC"> 1704 : return build(features, className, states, weights);</span></span>
|
||||
<span id="L73"><span class="lineNum"> 73</span> <span class="tlaGNC"> 852 : }</span></span>
|
||||
<span id="L74"><span class="lineNum"> 74</span> <span class="tlaGNC"> 660 : Classifier& Classifier::fit(torch::Tensor& dataset, const std::vector<std::string>& features, const std::string& className, std::map<std::string, std::vector<int>>& states, const torch::Tensor& weights)</span></span>
|
||||
<span id="L75"><span class="lineNum"> 75</span> : {</span>
|
||||
<span id="L76"><span class="lineNum"> 76</span> <span class="tlaGNC"> 660 : this->dataset = dataset;</span></span>
|
||||
<span id="L77"><span class="lineNum"> 77</span> <span class="tlaGNC"> 660 : return build(features, className, states, weights);</span></span>
|
||||
<span id="L78"><span class="lineNum"> 78</span> : }</span>
|
||||
<span id="L79"><span class="lineNum"> 79</span> <span class="tlaGNC"> 1760 : void Classifier::checkFitParameters()</span></span>
|
||||
<span id="L80"><span class="lineNum"> 80</span> : {</span>
|
||||
<span id="L81"><span class="lineNum"> 81</span> <span class="tlaGNC"> 1760 : if (torch::is_floating_point(dataset)) {</span></span>
|
||||
<span id="L82"><span class="lineNum"> 82</span> <span class="tlaGNC"> 8 : throw std::invalid_argument("dataset (X, y) must be of type Integer");</span></span>
|
||||
<span id="L83"><span class="lineNum"> 83</span> : }</span>
|
||||
<span id="L84"><span class="lineNum"> 84</span> <span class="tlaGNC"> 1752 : if (dataset.size(0) - 1 != features.size()) {</span></span>
|
||||
<span id="L85"><span class="lineNum"> 85</span> <span class="tlaGNC"> 8 : throw std::invalid_argument("Classifier: X " + std::to_string(dataset.size(0) - 1) + " and features " + std::to_string(features.size()) + " must have the same number of features");</span></span>
|
||||
<span id="L86"><span class="lineNum"> 86</span> : }</span>
|
||||
<span id="L87"><span class="lineNum"> 87</span> <span class="tlaGNC"> 1744 : if (states.find(className) == states.end()) {</span></span>
|
||||
<span id="L88"><span class="lineNum"> 88</span> <span class="tlaGNC"> 8 : throw std::invalid_argument("class name not found in states");</span></span>
|
||||
<span id="L89"><span class="lineNum"> 89</span> : }</span>
|
||||
<span id="L90"><span class="lineNum"> 90</span> <span class="tlaGNC"> 32996 : for (auto feature : features) {</span></span>
|
||||
<span id="L91"><span class="lineNum"> 91</span> <span class="tlaGNC"> 31268 : if (states.find(feature) == states.end()) {</span></span>
|
||||
<span id="L92"><span class="lineNum"> 92</span> <span class="tlaGNC"> 8 : throw std::invalid_argument("feature [" + feature + "] not found in states");</span></span>
|
||||
<span id="L93"><span class="lineNum"> 93</span> : }</span>
|
||||
<span id="L94"><span class="lineNum"> 94</span> <span class="tlaGNC"> 31268 : }</span></span>
|
||||
<span id="L95"><span class="lineNum"> 95</span> <span class="tlaGNC"> 1728 : }</span></span>
|
||||
<span id="L96"><span class="lineNum"> 96</span> <span class="tlaGNC"> 1844 : torch::Tensor Classifier::predict(torch::Tensor& X)</span></span>
|
||||
<span id="L97"><span class="lineNum"> 97</span> : {</span>
|
||||
<span id="L98"><span class="lineNum"> 98</span> <span class="tlaGNC"> 1844 : if (!fitted) {</span></span>
|
||||
<span id="L99"><span class="lineNum"> 99</span> <span class="tlaGNC"> 16 : throw std::logic_error(CLASSIFIER_NOT_FITTED);</span></span>
|
||||
<span id="L100"><span class="lineNum"> 100</span> : }</span>
|
||||
<span id="L101"><span class="lineNum"> 101</span> <span class="tlaGNC"> 1828 : return model.predict(X);</span></span>
|
||||
<span id="L102"><span class="lineNum"> 102</span> : }</span>
|
||||
<span id="L103"><span class="lineNum"> 103</span> <span class="tlaGNC"> 16 : std::vector<int> Classifier::predict(std::vector<std::vector<int>>& X)</span></span>
|
||||
<span id="L104"><span class="lineNum"> 104</span> : {</span>
|
||||
<span id="L105"><span class="lineNum"> 105</span> <span class="tlaGNC"> 16 : if (!fitted) {</span></span>
|
||||
<span id="L106"><span class="lineNum"> 106</span> <span class="tlaGNC"> 8 : throw std::logic_error(CLASSIFIER_NOT_FITTED);</span></span>
|
||||
<span id="L107"><span class="lineNum"> 107</span> : }</span>
|
||||
<span id="L108"><span class="lineNum"> 108</span> <span class="tlaGNC"> 8 : auto m_ = X[0].size();</span></span>
|
||||
<span id="L109"><span class="lineNum"> 109</span> <span class="tlaGNC"> 8 : auto n_ = X.size();</span></span>
|
||||
<span id="L110"><span class="lineNum"> 110</span> <span class="tlaGNC"> 8 : std::vector<std::vector<int>> Xd(n_, std::vector<int>(m_, 0));</span></span>
|
||||
<span id="L111"><span class="lineNum"> 111</span> <span class="tlaGNC"> 40 : for (auto i = 0; i < n_; i++) {</span></span>
|
||||
<span id="L112"><span class="lineNum"> 112</span> <span class="tlaGNC"> 64 : Xd[i] = std::vector<int>(X[i].begin(), X[i].end());</span></span>
|
||||
<span id="L113"><span class="lineNum"> 113</span> : }</span>
|
||||
<span id="L114"><span class="lineNum"> 114</span> <span class="tlaGNC"> 8 : auto yp = model.predict(Xd);</span></span>
|
||||
<span id="L115"><span class="lineNum"> 115</span> <span class="tlaGNC"> 16 : return yp;</span></span>
|
||||
<span id="L116"><span class="lineNum"> 116</span> <span class="tlaGNC"> 8 : }</span></span>
|
||||
<span id="L117"><span class="lineNum"> 117</span> <span class="tlaGNC"> 1484 : torch::Tensor Classifier::predict_proba(torch::Tensor& X)</span></span>
|
||||
<span id="L118"><span class="lineNum"> 118</span> : {</span>
|
||||
<span id="L119"><span class="lineNum"> 119</span> <span class="tlaGNC"> 1484 : if (!fitted) {</span></span>
|
||||
<span id="L120"><span class="lineNum"> 120</span> <span class="tlaGNC"> 8 : throw std::logic_error(CLASSIFIER_NOT_FITTED);</span></span>
|
||||
<span id="L121"><span class="lineNum"> 121</span> : }</span>
|
||||
<span id="L122"><span class="lineNum"> 122</span> <span class="tlaGNC"> 1476 : return model.predict_proba(X);</span></span>
|
||||
<span id="L123"><span class="lineNum"> 123</span> : }</span>
|
||||
<span id="L124"><span class="lineNum"> 124</span> <span class="tlaGNC"> 548 : std::vector<std::vector<double>> Classifier::predict_proba(std::vector<std::vector<int>>& X)</span></span>
|
||||
<span id="L125"><span class="lineNum"> 125</span> : {</span>
|
||||
<span id="L126"><span class="lineNum"> 126</span> <span class="tlaGNC"> 548 : if (!fitted) {</span></span>
|
||||
<span id="L127"><span class="lineNum"> 127</span> <span class="tlaGNC"> 8 : throw std::logic_error(CLASSIFIER_NOT_FITTED);</span></span>
|
||||
<span id="L128"><span class="lineNum"> 128</span> : }</span>
|
||||
<span id="L129"><span class="lineNum"> 129</span> <span class="tlaGNC"> 540 : auto m_ = X[0].size();</span></span>
|
||||
<span id="L130"><span class="lineNum"> 130</span> <span class="tlaGNC"> 540 : auto n_ = X.size();</span></span>
|
||||
<span id="L131"><span class="lineNum"> 131</span> <span class="tlaGNC"> 540 : std::vector<std::vector<int>> Xd(n_, std::vector<int>(m_, 0));</span></span>
|
||||
<span id="L132"><span class="lineNum"> 132</span> : // Convert to nxm vector</span>
|
||||
<span id="L133"><span class="lineNum"> 133</span> <span class="tlaGNC"> 5040 : for (auto i = 0; i < n_; i++) {</span></span>
|
||||
<span id="L134"><span class="lineNum"> 134</span> <span class="tlaGNC"> 9000 : Xd[i] = std::vector<int>(X[i].begin(), X[i].end());</span></span>
|
||||
<span id="L135"><span class="lineNum"> 135</span> : }</span>
|
||||
<span id="L136"><span class="lineNum"> 136</span> <span class="tlaGNC"> 540 : auto yp = model.predict_proba(Xd);</span></span>
|
||||
<span id="L137"><span class="lineNum"> 137</span> <span class="tlaGNC"> 1080 : return yp;</span></span>
|
||||
<span id="L138"><span class="lineNum"> 138</span> <span class="tlaGNC"> 540 : }</span></span>
|
||||
<span id="L139"><span class="lineNum"> 139</span> <span class="tlaGNC"> 112 : float Classifier::score(torch::Tensor& X, torch::Tensor& y)</span></span>
|
||||
<span id="L140"><span class="lineNum"> 140</span> : {</span>
|
||||
<span id="L141"><span class="lineNum"> 141</span> <span class="tlaGNC"> 112 : torch::Tensor y_pred = predict(X);</span></span>
|
||||
<span id="L142"><span class="lineNum"> 142</span> <span class="tlaGNC"> 208 : return (y_pred == y).sum().item<float>() / y.size(0);</span></span>
|
||||
<span id="L143"><span class="lineNum"> 143</span> <span class="tlaGNC"> 104 : }</span></span>
|
||||
<span id="L144"><span class="lineNum"> 144</span> <span class="tlaGNC"> 16 : float Classifier::score(std::vector<std::vector<int>>& X, std::vector<int>& y)</span></span>
|
||||
<span id="L145"><span class="lineNum"> 145</span> : {</span>
|
||||
<span id="L146"><span class="lineNum"> 146</span> <span class="tlaGNC"> 16 : if (!fitted) {</span></span>
|
||||
<span id="L147"><span class="lineNum"> 147</span> <span class="tlaGNC"> 8 : throw std::logic_error(CLASSIFIER_NOT_FITTED);</span></span>
|
||||
<span id="L148"><span class="lineNum"> 148</span> : }</span>
|
||||
<span id="L149"><span class="lineNum"> 149</span> <span class="tlaGNC"> 8 : return model.score(X, y);</span></span>
|
||||
<span id="L150"><span class="lineNum"> 150</span> : }</span>
|
||||
<span id="L151"><span class="lineNum"> 151</span> <span class="tlaGNC"> 24 : std::vector<std::string> Classifier::show() const</span></span>
|
||||
<span id="L152"><span class="lineNum"> 152</span> : {</span>
|
||||
<span id="L153"><span class="lineNum"> 153</span> <span class="tlaGNC"> 24 : return model.show();</span></span>
|
||||
<span id="L154"><span class="lineNum"> 154</span> : }</span>
|
||||
<span id="L155"><span class="lineNum"> 155</span> <span class="tlaGNC"> 1576 : void Classifier::addNodes()</span></span>
|
||||
<span id="L156"><span class="lineNum"> 156</span> : {</span>
|
||||
<span id="L157"><span class="lineNum"> 157</span> : // Add all nodes to the network</span>
|
||||
<span id="L158"><span class="lineNum"> 158</span> <span class="tlaGNC"> 30872 : for (const auto& feature : features) {</span></span>
|
||||
<span id="L159"><span class="lineNum"> 159</span> <span class="tlaGNC"> 29296 : model.addNode(feature);</span></span>
|
||||
<span id="L160"><span class="lineNum"> 160</span> : }</span>
|
||||
<span id="L161"><span class="lineNum"> 161</span> <span class="tlaGNC"> 1576 : model.addNode(className);</span></span>
|
||||
<span id="L162"><span class="lineNum"> 162</span> <span class="tlaGNC"> 1576 : }</span></span>
|
||||
<span id="L163"><span class="lineNum"> 163</span> <span class="tlaGNC"> 332 : int Classifier::getNumberOfNodes() const</span></span>
|
||||
<span id="L164"><span class="lineNum"> 164</span> : {</span>
|
||||
<span id="L165"><span class="lineNum"> 165</span> : // Features does not include class</span>
|
||||
<span id="L166"><span class="lineNum"> 166</span> <span class="tlaGNC"> 332 : return fitted ? model.getFeatures().size() : 0;</span></span>
|
||||
<span id="L167"><span class="lineNum"> 167</span> : }</span>
|
||||
<span id="L168"><span class="lineNum"> 168</span> <span class="tlaGNC"> 332 : int Classifier::getNumberOfEdges() const</span></span>
|
||||
<span id="L169"><span class="lineNum"> 169</span> : {</span>
|
||||
<span id="L170"><span class="lineNum"> 170</span> <span class="tlaGNC"> 332 : return fitted ? model.getNumEdges() : 0;</span></span>
|
||||
<span id="L171"><span class="lineNum"> 171</span> : }</span>
|
||||
<span id="L172"><span class="lineNum"> 172</span> <span class="tlaGNC"> 24 : int Classifier::getNumberOfStates() const</span></span>
|
||||
<span id="L173"><span class="lineNum"> 173</span> : {</span>
|
||||
<span id="L174"><span class="lineNum"> 174</span> <span class="tlaGNC"> 24 : return fitted ? model.getStates() : 0;</span></span>
|
||||
<span id="L175"><span class="lineNum"> 175</span> : }</span>
|
||||
<span id="L176"><span class="lineNum"> 176</span> <span class="tlaGNC"> 348 : int Classifier::getClassNumStates() const</span></span>
|
||||
<span id="L177"><span class="lineNum"> 177</span> : {</span>
|
||||
<span id="L178"><span class="lineNum"> 178</span> <span class="tlaGNC"> 348 : return fitted ? model.getClassNumStates() : 0;</span></span>
|
||||
<span id="L179"><span class="lineNum"> 179</span> : }</span>
|
||||
<span id="L180"><span class="lineNum"> 180</span> <span class="tlaGNC"> 4 : std::vector<std::string> Classifier::topological_order()</span></span>
|
||||
<span id="L181"><span class="lineNum"> 181</span> : {</span>
|
||||
<span id="L182"><span class="lineNum"> 182</span> <span class="tlaGNC"> 4 : return model.topological_sort();</span></span>
|
||||
<span id="L183"><span class="lineNum"> 183</span> : }</span>
|
||||
<span id="L184"><span class="lineNum"> 184</span> <span class="tlaGNC"> 4 : std::string Classifier::dump_cpt() const</span></span>
|
||||
<span id="L185"><span class="lineNum"> 185</span> : {</span>
|
||||
<span id="L186"><span class="lineNum"> 186</span> <span class="tlaGNC"> 4 : return model.dump_cpt();</span></span>
|
||||
<span id="L187"><span class="lineNum"> 187</span> : }</span>
|
||||
<span id="L188"><span class="lineNum"> 188</span> <span class="tlaGNC"> 92 : void Classifier::setHyperparameters(const nlohmann::json& hyperparameters)</span></span>
|
||||
<span id="L189"><span class="lineNum"> 189</span> : {</span>
|
||||
<span id="L190"><span class="lineNum"> 190</span> <span class="tlaGNC"> 92 : if (!hyperparameters.empty()) {</span></span>
|
||||
<span id="L191"><span class="lineNum"> 191</span> <span class="tlaGNC"> 8 : throw std::invalid_argument("Invalid hyperparameters" + hyperparameters.dump());</span></span>
|
||||
<span id="L192"><span class="lineNum"> 192</span> : }</span>
|
||||
<span id="L193"><span class="lineNum"> 193</span> <span class="tlaGNC"> 84 : }</span></span>
|
||||
<span id="L194"><span class="lineNum"> 194</span> : }</span>
|
||||
</pre>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
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<tr>
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<td width="100%">
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<table cellpadding=1 border=0 width="100%">
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<tr>
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<td width="10%" class="headerItem">Current view:</td>
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<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - Classifier.h<span style="font-size: 80%;"> (<a href="Classifier.h.gcov.html">source</a> / functions)</span></td>
|
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<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">4</td>
|
||||
<td class="headerCovTableEntry">4</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">4</td>
|
||||
<td class="headerCovTableEntry">4</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
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<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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</table>
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</td>
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</tr>
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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</table>
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<center>
|
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<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
||||
<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><a href="Classifier.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
|
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|
||||
<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.h.gcov.html#L31">bayesnet::Classifier::getVersion[abi:cxx11]()</a></td>
|
||||
|
||||
<td class="coverFnHi">32</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.h.gcov.html#L36">bayesnet::Classifier::getNotes[abi:cxx11]() const</a></td>
|
||||
|
||||
<td class="coverFnHi">80</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.h.gcov.html#L30">bayesnet::Classifier::getStatus() const</a></td>
|
||||
|
||||
<td class="coverFnHi">128</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.h.gcov.html#L16">bayesnet::Classifier::~Classifier()</a></td>
|
||||
|
||||
<td class="coverFnHi">1680</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
</center>
|
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<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
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<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
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<br>
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</body>
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</html>
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@ -1,111 +0,0 @@
|
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<html lang="en">
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<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Classifier.h - functions</title>
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<link rel="stylesheet" type="text/css" href="../../gcov.css">
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<body>
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<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
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<tr><td class="title">LCOV - code coverage report</td></tr>
|
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
|
||||
<tr>
|
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<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
||||
<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - Classifier.h<span style="font-size: 80%;"> (<a href="Classifier.h.gcov.html">source</a> / functions)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">4</td>
|
||||
<td class="headerCovTableEntry">4</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">4</td>
|
||||
<td class="headerCovTableEntry">4</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
|
||||
<center>
|
||||
<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
||||
<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
|
||||
|
||||
<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><a href="Classifier.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.h.gcov.html#L36">bayesnet::Classifier::getNotes[abi:cxx11]() const</a></td>
|
||||
|
||||
<td class="coverFnHi">80</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.h.gcov.html#L30">bayesnet::Classifier::getStatus() const</a></td>
|
||||
|
||||
<td class="coverFnHi">128</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.h.gcov.html#L31">bayesnet::Classifier::getVersion[abi:cxx11]()</a></td>
|
||||
|
||||
<td class="coverFnHi">32</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Classifier.h.gcov.html#L16">bayesnet::Classifier::~Classifier()</a></td>
|
||||
|
||||
<td class="coverFnHi">1680</td>
|
||||
|
||||
|
||||
</tr>
|
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|
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<tr>
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<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - Classifier.h<span style="font-size: 80%;"> (source / <a href="Classifier.h.func-c.html">functions</a>)</span></td>
|
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<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">4</td>
|
||||
<td class="headerCovTableEntry">4</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">4</td>
|
||||
<td class="headerCovTableEntry">4</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
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|
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<td><br></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>
|
||||
<pre class="sourceHeading"> Line data Source code</pre>
|
||||
<pre class="source">
|
||||
<span id="L1"><span class="lineNum"> 1</span> : // ***************************************************************</span>
|
||||
<span id="L2"><span class="lineNum"> 2</span> : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
|
||||
<span id="L3"><span class="lineNum"> 3</span> : // SPDX-FileType: SOURCE</span>
|
||||
<span id="L4"><span class="lineNum"> 4</span> : // SPDX-License-Identifier: MIT</span>
|
||||
<span id="L5"><span class="lineNum"> 5</span> : // ***************************************************************</span>
|
||||
<span id="L6"><span class="lineNum"> 6</span> : </span>
|
||||
<span id="L7"><span class="lineNum"> 7</span> : #ifndef CLASSIFIER_H</span>
|
||||
<span id="L8"><span class="lineNum"> 8</span> : #define CLASSIFIER_H</span>
|
||||
<span id="L9"><span class="lineNum"> 9</span> : #include <torch/torch.h></span>
|
||||
<span id="L10"><span class="lineNum"> 10</span> : #include "bayesnet/utils/BayesMetrics.h"</span>
|
||||
<span id="L11"><span class="lineNum"> 11</span> : #include "bayesnet/network/Network.h"</span>
|
||||
<span id="L12"><span class="lineNum"> 12</span> : #include "bayesnet/BaseClassifier.h"</span>
|
||||
<span id="L13"><span class="lineNum"> 13</span> : </span>
|
||||
<span id="L14"><span class="lineNum"> 14</span> : namespace bayesnet {</span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> : class Classifier : public BaseClassifier {</span>
|
||||
<span id="L16"><span class="lineNum"> 16</span> : public:</span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> : Classifier(Network model);</span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> <span class="tlaGNC tlaBgGNC"> 1680 : virtual ~Classifier() = default;</span></span>
|
||||
<span id="L19"><span class="lineNum"> 19</span> : Classifier& fit(std::vector<std::vector<int>>& X, std::vector<int>& y, const std::vector<std::string>& features, const std::string& className, std::map<std::string, std::vector<int>>& states) override;</span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> : Classifier& fit(torch::Tensor& X, torch::Tensor& y, const std::vector<std::string>& features, const std::string& className, std::map<std::string, std::vector<int>>& states) override;</span>
|
||||
<span id="L21"><span class="lineNum"> 21</span> : Classifier& fit(torch::Tensor& dataset, const std::vector<std::string>& features, const std::string& className, std::map<std::string, std::vector<int>>& states) override;</span>
|
||||
<span id="L22"><span class="lineNum"> 22</span> : Classifier& fit(torch::Tensor& dataset, const std::vector<std::string>& features, const std::string& className, std::map<std::string, std::vector<int>>& states, const torch::Tensor& weights) override;</span>
|
||||
<span id="L23"><span class="lineNum"> 23</span> : void addNodes();</span>
|
||||
<span id="L24"><span class="lineNum"> 24</span> : int getNumberOfNodes() const override;</span>
|
||||
<span id="L25"><span class="lineNum"> 25</span> : int getNumberOfEdges() const override;</span>
|
||||
<span id="L26"><span class="lineNum"> 26</span> : int getNumberOfStates() const override;</span>
|
||||
<span id="L27"><span class="lineNum"> 27</span> : int getClassNumStates() const override;</span>
|
||||
<span id="L28"><span class="lineNum"> 28</span> : torch::Tensor predict(torch::Tensor& X) override;</span>
|
||||
<span id="L29"><span class="lineNum"> 29</span> : std::vector<int> predict(std::vector<std::vector<int>>& X) override;</span>
|
||||
<span id="L30"><span class="lineNum"> 30</span> : torch::Tensor predict_proba(torch::Tensor& X) override;</span>
|
||||
<span id="L31"><span class="lineNum"> 31</span> : std::vector<std::vector<double>> predict_proba(std::vector<std::vector<int>>& X) override;</span>
|
||||
<span id="L32"><span class="lineNum"> 32</span> <span class="tlaGNC"> 128 : status_t getStatus() const override { return status; }</span></span>
|
||||
<span id="L33"><span class="lineNum"> 33</span> <span class="tlaGNC"> 96 : std::string getVersion() override { return { project_version.begin(), project_version.end() }; };</span></span>
|
||||
<span id="L34"><span class="lineNum"> 34</span> : float score(torch::Tensor& X, torch::Tensor& y) override;</span>
|
||||
<span id="L35"><span class="lineNum"> 35</span> : float score(std::vector<std::vector<int>>& X, std::vector<int>& y) override;</span>
|
||||
<span id="L36"><span class="lineNum"> 36</span> : std::vector<std::string> show() const override;</span>
|
||||
<span id="L37"><span class="lineNum"> 37</span> : std::vector<std::string> topological_order() override;</span>
|
||||
<span id="L38"><span class="lineNum"> 38</span> <span class="tlaGNC"> 80 : std::vector<std::string> getNotes() const override { return notes; }</span></span>
|
||||
<span id="L39"><span class="lineNum"> 39</span> : std::string dump_cpt() const override;</span>
|
||||
<span id="L40"><span class="lineNum"> 40</span> : void setHyperparameters(const nlohmann::json& hyperparameters) override; //For classifiers that don't have hyperparameters</span>
|
||||
<span id="L41"><span class="lineNum"> 41</span> : protected:</span>
|
||||
<span id="L42"><span class="lineNum"> 42</span> : bool fitted;</span>
|
||||
<span id="L43"><span class="lineNum"> 43</span> : unsigned int m, n; // m: number of samples, n: number of features</span>
|
||||
<span id="L44"><span class="lineNum"> 44</span> : Network model;</span>
|
||||
<span id="L45"><span class="lineNum"> 45</span> : Metrics metrics;</span>
|
||||
<span id="L46"><span class="lineNum"> 46</span> : std::vector<std::string> features;</span>
|
||||
<span id="L47"><span class="lineNum"> 47</span> : std::string className;</span>
|
||||
<span id="L48"><span class="lineNum"> 48</span> : std::map<std::string, std::vector<int>> states;</span>
|
||||
<span id="L49"><span class="lineNum"> 49</span> : torch::Tensor dataset; // (n+1)xm tensor</span>
|
||||
<span id="L50"><span class="lineNum"> 50</span> : status_t status = NORMAL;</span>
|
||||
<span id="L51"><span class="lineNum"> 51</span> : std::vector<std::string> notes; // Used to store messages occurred during the fit process</span>
|
||||
<span id="L52"><span class="lineNum"> 52</span> : void checkFitParameters();</span>
|
||||
<span id="L53"><span class="lineNum"> 53</span> : virtual void buildModel(const torch::Tensor& weights) = 0;</span>
|
||||
<span id="L54"><span class="lineNum"> 54</span> : void trainModel(const torch::Tensor& weights) override;</span>
|
||||
<span id="L55"><span class="lineNum"> 55</span> : void buildDataset(torch::Tensor& y);</span>
|
||||
<span id="L56"><span class="lineNum"> 56</span> : private:</span>
|
||||
<span id="L57"><span class="lineNum"> 57</span> : Classifier& build(const std::vector<std::string>& features, const std::string& className, std::map<std::string, std::vector<int>>& states, const torch::Tensor& weights);</span>
|
||||
<span id="L58"><span class="lineNum"> 58</span> : };</span>
|
||||
<span id="L59"><span class="lineNum"> 59</span> : }</span>
|
||||
<span id="L60"><span class="lineNum"> 60</span> : #endif</span>
|
||||
<span id="L61"><span class="lineNum"> 61</span> : </span>
|
||||
<span id="L62"><span class="lineNum"> 62</span> : </span>
|
||||
<span id="L63"><span class="lineNum"> 63</span> : </span>
|
||||
<span id="L64"><span class="lineNum"> 64</span> : </span>
|
||||
<span id="L65"><span class="lineNum"> 65</span> : </span>
|
||||
</pre>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
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<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
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|
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|
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</body>
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</html>
|
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@ -1,37 +0,0 @@
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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|
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<html lang="en">
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|
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Classifier.h</title>
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<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
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<img src="Classifier.h.gcov.png" width=80 height=64 alt="Overview" border=0 usemap="#overview">
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Binary file not shown.
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDB.cc - functions</title>
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<link rel="stylesheet" type="text/css" href="../../gcov.css">
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</head>
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|
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<body>
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<table width="100%" border=0 cellspacing=0 cellpadding=0>
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<tr><td class="title">LCOV - code coverage report</td></tr>
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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|
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<tr>
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<td width="100%">
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<table cellpadding=1 border=0 width="100%">
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<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - KDB.cc<span style="font-size: 80%;"> (<a href="KDB.cc.gcov.html">source</a> / functions)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">96.3 %</td>
|
||||
<td class="headerCovTableEntry">54</td>
|
||||
<td class="headerCovTableEntry">52</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">5</td>
|
||||
<td class="headerCovTableEntry">5</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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</table>
|
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</td>
|
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</tr>
|
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|
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
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</table>
|
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|
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<center>
|
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<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
||||
<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><a href="KDB.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
|
||||
|
||||
<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="KDB.cc.gcov.html#L101">bayesnet::KDB::graph(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) const</a></td>
|
||||
|
||||
<td class="coverFnHi">8</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="KDB.cc.gcov.html#L13">bayesnet::KDB::setHyperparameters(nlohmann::json_abi_v3_11_3::basic_json<std::map, std::vector, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, bool, long, unsigned long, double, std::allocator, nlohmann::json_abi_v3_11_3::adl_serializer, std::vector<unsigned char, std::allocator<unsigned char> >, void> const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">12</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="KDB.cc.gcov.html#L26">bayesnet::KDB::buildModel(at::Tensor const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">52</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="KDB.cc.gcov.html#L8">bayesnet::KDB::KDB(int, float)</a></td>
|
||||
|
||||
<td class="coverFnHi">148</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="KDB.cc.gcov.html#L77">bayesnet::KDB::add_m_edges(int, std::vector<int, std::allocator<int> >&, at::Tensor&)</a></td>
|
||||
|
||||
<td class="coverFnHi">344</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
</center>
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
@ -1,118 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
|
||||
|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
||||
<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDB.cc - functions</title>
|
||||
<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
||||
</head>
|
||||
|
||||
<body>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="title">LCOV - code coverage report</td></tr>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
|
||||
<tr>
|
||||
<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
||||
<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - KDB.cc<span style="font-size: 80%;"> (<a href="KDB.cc.gcov.html">source</a> / functions)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">96.3 %</td>
|
||||
<td class="headerCovTableEntry">54</td>
|
||||
<td class="headerCovTableEntry">52</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">5</td>
|
||||
<td class="headerCovTableEntry">5</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
|
||||
<center>
|
||||
<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
||||
<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
|
||||
|
||||
<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><a href="KDB.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="KDB.cc.gcov.html#L8">bayesnet::KDB::KDB(int, float)</a></td>
|
||||
|
||||
<td class="coverFnHi">148</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="KDB.cc.gcov.html#L77">bayesnet::KDB::add_m_edges(int, std::vector<int, std::allocator<int> >&, at::Tensor&)</a></td>
|
||||
|
||||
<td class="coverFnHi">344</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="KDB.cc.gcov.html#L26">bayesnet::KDB::buildModel(at::Tensor const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">52</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="KDB.cc.gcov.html#L101">bayesnet::KDB::graph(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) const</a></td>
|
||||
|
||||
<td class="coverFnHi">8</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="KDB.cc.gcov.html#L13">bayesnet::KDB::setHyperparameters(nlohmann::json_abi_v3_11_3::basic_json<std::map, std::vector, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, bool, long, unsigned long, double, std::allocator, nlohmann::json_abi_v3_11_3::adl_serializer, std::vector<unsigned char, std::allocator<unsigned char> >, void> const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">12</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
</center>
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
@ -1,19 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
|
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|
||||
<html lang="en">
|
||||
|
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<head>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDB.cc</title>
|
||||
<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
||||
</head>
|
||||
|
||||
<frameset cols="120,*">
|
||||
<frame src="KDB.cc.gcov.overview.html" name="overview">
|
||||
<frame src="KDB.cc.gcov.html" name="source">
|
||||
<noframes>
|
||||
<center>Frames not supported by your browser!<br></center>
|
||||
</noframes>
|
||||
</frameset>
|
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|
||||
</html>
|
||||
@ -1,195 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
|
||||
|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
||||
<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDB.cc</title>
|
||||
<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
||||
</head>
|
||||
|
||||
<body>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="title">LCOV - code coverage report</td></tr>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
|
||||
<tr>
|
||||
<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
||||
<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - KDB.cc<span style="font-size: 80%;"> (source / <a href="KDB.cc.func-c.html">functions</a>)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">96.3 %</td>
|
||||
<td class="headerCovTableEntry">54</td>
|
||||
<td class="headerCovTableEntry">52</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">5</td>
|
||||
<td class="headerCovTableEntry">5</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
|
||||
<table cellpadding=0 cellspacing=0 border=0>
|
||||
<tr>
|
||||
<td><br></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>
|
||||
<pre class="sourceHeading"> Line data Source code</pre>
|
||||
<pre class="source">
|
||||
<span id="L1"><span class="lineNum"> 1</span> : // ***************************************************************</span>
|
||||
<span id="L2"><span class="lineNum"> 2</span> : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
|
||||
<span id="L3"><span class="lineNum"> 3</span> : // SPDX-FileType: SOURCE</span>
|
||||
<span id="L4"><span class="lineNum"> 4</span> : // SPDX-License-Identifier: MIT</span>
|
||||
<span id="L5"><span class="lineNum"> 5</span> : // ***************************************************************</span>
|
||||
<span id="L6"><span class="lineNum"> 6</span> : </span>
|
||||
<span id="L7"><span class="lineNum"> 7</span> : #include "KDB.h"</span>
|
||||
<span id="L8"><span class="lineNum"> 8</span> : </span>
|
||||
<span id="L9"><span class="lineNum"> 9</span> : namespace bayesnet {</span>
|
||||
<span id="L10"><span class="lineNum"> 10</span> <span class="tlaGNC tlaBgGNC"> 148 : KDB::KDB(int k, float theta) : Classifier(Network()), k(k), theta(theta)</span></span>
|
||||
<span id="L11"><span class="lineNum"> 11</span> : {</span>
|
||||
<span id="L12"><span class="lineNum"> 12</span> <span class="tlaGNC"> 444 : validHyperparameters = { "k", "theta" };</span></span>
|
||||
<span id="L13"><span class="lineNum"> 13</span> : </span>
|
||||
<span id="L14"><span class="lineNum"> 14</span> <span class="tlaGNC"> 444 : }</span></span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> <span class="tlaGNC"> 12 : void KDB::setHyperparameters(const nlohmann::json& hyperparameters_)</span></span>
|
||||
<span id="L16"><span class="lineNum"> 16</span> : {</span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC"> 12 : auto hyperparameters = hyperparameters_;</span></span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> <span class="tlaGNC"> 12 : if (hyperparameters.contains("k")) {</span></span>
|
||||
<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC"> 4 : k = hyperparameters["k"];</span></span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 4 : hyperparameters.erase("k");</span></span>
|
||||
<span id="L21"><span class="lineNum"> 21</span> : }</span>
|
||||
<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC"> 12 : if (hyperparameters.contains("theta")) {</span></span>
|
||||
<span id="L23"><span class="lineNum"> 23</span> <span class="tlaGNC"> 4 : theta = hyperparameters["theta"];</span></span>
|
||||
<span id="L24"><span class="lineNum"> 24</span> <span class="tlaGNC"> 4 : hyperparameters.erase("theta");</span></span>
|
||||
<span id="L25"><span class="lineNum"> 25</span> : }</span>
|
||||
<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC"> 12 : Classifier::setHyperparameters(hyperparameters);</span></span>
|
||||
<span id="L27"><span class="lineNum"> 27</span> <span class="tlaGNC"> 12 : }</span></span>
|
||||
<span id="L28"><span class="lineNum"> 28</span> <span class="tlaGNC"> 52 : void KDB::buildModel(const torch::Tensor& weights)</span></span>
|
||||
<span id="L29"><span class="lineNum"> 29</span> : {</span>
|
||||
<span id="L30"><span class="lineNum"> 30</span> : /*</span>
|
||||
<span id="L31"><span class="lineNum"> 31</span> : 1. For each feature Xi, compute mutual information, I(X;C),</span>
|
||||
<span id="L32"><span class="lineNum"> 32</span> : where C is the class.</span>
|
||||
<span id="L33"><span class="lineNum"> 33</span> : 2. Compute class conditional mutual information I(Xi;XjIC), f or each</span>
|
||||
<span id="L34"><span class="lineNum"> 34</span> : pair of features Xi and Xj, where i#j.</span>
|
||||
<span id="L35"><span class="lineNum"> 35</span> : 3. Let the used variable list, S, be empty.</span>
|
||||
<span id="L36"><span class="lineNum"> 36</span> : 4. Let the DAG network being constructed, BN, begin with a single</span>
|
||||
<span id="L37"><span class="lineNum"> 37</span> : class node, C.</span>
|
||||
<span id="L38"><span class="lineNum"> 38</span> : 5. Repeat until S includes all domain features</span>
|
||||
<span id="L39"><span class="lineNum"> 39</span> : 5.1. Select feature Xmax which is not in S and has the largest value</span>
|
||||
<span id="L40"><span class="lineNum"> 40</span> : I(Xmax;C).</span>
|
||||
<span id="L41"><span class="lineNum"> 41</span> : 5.2. Add a node to BN representing Xmax.</span>
|
||||
<span id="L42"><span class="lineNum"> 42</span> : 5.3. Add an arc from C to Xmax in BN.</span>
|
||||
<span id="L43"><span class="lineNum"> 43</span> : 5.4. Add m = min(lSl,/c) arcs from m distinct features Xj in S with</span>
|
||||
<span id="L44"><span class="lineNum"> 44</span> : the highest value for I(Xmax;X,jC).</span>
|
||||
<span id="L45"><span class="lineNum"> 45</span> : 5.5. Add Xmax to S.</span>
|
||||
<span id="L46"><span class="lineNum"> 46</span> : Compute the conditional probabilility infered by the structure of BN by</span>
|
||||
<span id="L47"><span class="lineNum"> 47</span> : using counts from DB, and output BN.</span>
|
||||
<span id="L48"><span class="lineNum"> 48</span> : */</span>
|
||||
<span id="L49"><span class="lineNum"> 49</span> : // 1. For each feature Xi, compute mutual information, I(X;C),</span>
|
||||
<span id="L50"><span class="lineNum"> 50</span> : // where C is the class.</span>
|
||||
<span id="L51"><span class="lineNum"> 51</span> <span class="tlaGNC"> 52 : addNodes();</span></span>
|
||||
<span id="L52"><span class="lineNum"> 52</span> <span class="tlaGNC"> 156 : const torch::Tensor& y = dataset.index({ -1, "..." });</span></span>
|
||||
<span id="L53"><span class="lineNum"> 53</span> <span class="tlaGNC"> 52 : std::vector<double> mi;</span></span>
|
||||
<span id="L54"><span class="lineNum"> 54</span> <span class="tlaGNC"> 396 : for (auto i = 0; i < features.size(); i++) {</span></span>
|
||||
<span id="L55"><span class="lineNum"> 55</span> <span class="tlaGNC"> 1032 : torch::Tensor firstFeature = dataset.index({ i, "..." });</span></span>
|
||||
<span id="L56"><span class="lineNum"> 56</span> <span class="tlaGNC"> 344 : mi.push_back(metrics.mutualInformation(firstFeature, y, weights));</span></span>
|
||||
<span id="L57"><span class="lineNum"> 57</span> <span class="tlaGNC"> 344 : }</span></span>
|
||||
<span id="L58"><span class="lineNum"> 58</span> : // 2. Compute class conditional mutual information I(Xi;XjIC), f or each</span>
|
||||
<span id="L59"><span class="lineNum"> 59</span> <span class="tlaGNC"> 52 : auto conditionalEdgeWeights = metrics.conditionalEdge(weights);</span></span>
|
||||
<span id="L60"><span class="lineNum"> 60</span> : // 3. Let the used variable list, S, be empty.</span>
|
||||
<span id="L61"><span class="lineNum"> 61</span> <span class="tlaGNC"> 52 : std::vector<int> S;</span></span>
|
||||
<span id="L62"><span class="lineNum"> 62</span> : // 4. Let the DAG network being constructed, BN, begin with a single</span>
|
||||
<span id="L63"><span class="lineNum"> 63</span> : // class node, C.</span>
|
||||
<span id="L64"><span class="lineNum"> 64</span> : // 5. Repeat until S includes all domain features</span>
|
||||
<span id="L65"><span class="lineNum"> 65</span> : // 5.1. Select feature Xmax which is not in S and has the largest value</span>
|
||||
<span id="L66"><span class="lineNum"> 66</span> : // I(Xmax;C).</span>
|
||||
<span id="L67"><span class="lineNum"> 67</span> <span class="tlaGNC"> 52 : auto order = argsort(mi);</span></span>
|
||||
<span id="L68"><span class="lineNum"> 68</span> <span class="tlaGNC"> 396 : for (auto idx : order) {</span></span>
|
||||
<span id="L69"><span class="lineNum"> 69</span> : // 5.2. Add a node to BN representing Xmax.</span>
|
||||
<span id="L70"><span class="lineNum"> 70</span> : // 5.3. Add an arc from C to Xmax in BN.</span>
|
||||
<span id="L71"><span class="lineNum"> 71</span> <span class="tlaGNC"> 344 : model.addEdge(className, features[idx]);</span></span>
|
||||
<span id="L72"><span class="lineNum"> 72</span> : // 5.4. Add m = min(lSl,/c) arcs from m distinct features Xj in S with</span>
|
||||
<span id="L73"><span class="lineNum"> 73</span> : // the highest value for I(Xmax;X,jC).</span>
|
||||
<span id="L74"><span class="lineNum"> 74</span> <span class="tlaGNC"> 344 : add_m_edges(idx, S, conditionalEdgeWeights);</span></span>
|
||||
<span id="L75"><span class="lineNum"> 75</span> : // 5.5. Add Xmax to S.</span>
|
||||
<span id="L76"><span class="lineNum"> 76</span> <span class="tlaGNC"> 344 : S.push_back(idx);</span></span>
|
||||
<span id="L77"><span class="lineNum"> 77</span> : }</span>
|
||||
<span id="L78"><span class="lineNum"> 78</span> <span class="tlaGNC"> 448 : }</span></span>
|
||||
<span id="L79"><span class="lineNum"> 79</span> <span class="tlaGNC"> 344 : void KDB::add_m_edges(int idx, std::vector<int>& S, torch::Tensor& weights)</span></span>
|
||||
<span id="L80"><span class="lineNum"> 80</span> : {</span>
|
||||
<span id="L81"><span class="lineNum"> 81</span> <span class="tlaGNC"> 344 : auto n_edges = std::min(k, static_cast<int>(S.size()));</span></span>
|
||||
<span id="L82"><span class="lineNum"> 82</span> <span class="tlaGNC"> 344 : auto cond_w = clone(weights);</span></span>
|
||||
<span id="L83"><span class="lineNum"> 83</span> <span class="tlaGNC"> 344 : bool exit_cond = k == 0;</span></span>
|
||||
<span id="L84"><span class="lineNum"> 84</span> <span class="tlaGNC"> 344 : int num = 0;</span></span>
|
||||
<span id="L85"><span class="lineNum"> 85</span> <span class="tlaGNC"> 1004 : while (!exit_cond) {</span></span>
|
||||
<span id="L86"><span class="lineNum"> 86</span> <span class="tlaGNC"> 2640 : auto max_minfo = argmax(cond_w.index({ idx, "..." })).item<int>();</span></span>
|
||||
<span id="L87"><span class="lineNum"> 87</span> <span class="tlaGNC"> 660 : auto belongs = find(S.begin(), S.end(), max_minfo) != S.end();</span></span>
|
||||
<span id="L88"><span class="lineNum"> 88</span> <span class="tlaGNC"> 1764 : if (belongs && cond_w.index({ idx, max_minfo }).item<float>() > theta) {</span></span>
|
||||
<span id="L89"><span class="lineNum"> 89</span> : try {</span>
|
||||
<span id="L90"><span class="lineNum"> 90</span> <span class="tlaGNC"> 320 : model.addEdge(features[max_minfo], features[idx]);</span></span>
|
||||
<span id="L91"><span class="lineNum"> 91</span> <span class="tlaGNC"> 320 : num++;</span></span>
|
||||
<span id="L92"><span class="lineNum"> 92</span> : }</span>
|
||||
<span id="L93"><span class="lineNum"> 93</span> <span class="tlaUNC tlaBgUNC"> 0 : catch (const std::invalid_argument& e) {</span></span>
|
||||
<span id="L94"><span class="lineNum"> 94</span> : // Loops are not allowed</span>
|
||||
<span id="L95"><span class="lineNum"> 95</span> <span class="tlaUNC"> 0 : }</span></span>
|
||||
<span id="L96"><span class="lineNum"> 96</span> : }</span>
|
||||
<span id="L97"><span class="lineNum"> 97</span> <span class="tlaGNC tlaBgGNC"> 2640 : cond_w.index_put_({ idx, max_minfo }, -1);</span></span>
|
||||
<span id="L98"><span class="lineNum"> 98</span> <span class="tlaGNC"> 1980 : auto candidates_mask = cond_w.index({ idx, "..." }).gt(theta);</span></span>
|
||||
<span id="L99"><span class="lineNum"> 99</span> <span class="tlaGNC"> 660 : auto candidates = candidates_mask.nonzero();</span></span>
|
||||
<span id="L100"><span class="lineNum"> 100</span> <span class="tlaGNC"> 660 : exit_cond = num == n_edges || candidates.size(0) == 0;</span></span>
|
||||
<span id="L101"><span class="lineNum"> 101</span> <span class="tlaGNC"> 660 : }</span></span>
|
||||
<span id="L102"><span class="lineNum"> 102</span> <span class="tlaGNC"> 2692 : }</span></span>
|
||||
<span id="L103"><span class="lineNum"> 103</span> <span class="tlaGNC"> 8 : std::vector<std::string> KDB::graph(const std::string& title) const</span></span>
|
||||
<span id="L104"><span class="lineNum"> 104</span> : {</span>
|
||||
<span id="L105"><span class="lineNum"> 105</span> <span class="tlaGNC"> 8 : std::string header{ title };</span></span>
|
||||
<span id="L106"><span class="lineNum"> 106</span> <span class="tlaGNC"> 8 : if (title == "KDB") {</span></span>
|
||||
<span id="L107"><span class="lineNum"> 107</span> <span class="tlaGNC"> 8 : header += " (k=" + std::to_string(k) + ", theta=" + std::to_string(theta) + ")";</span></span>
|
||||
<span id="L108"><span class="lineNum"> 108</span> : }</span>
|
||||
<span id="L109"><span class="lineNum"> 109</span> <span class="tlaGNC"> 16 : return model.graph(header);</span></span>
|
||||
<span id="L110"><span class="lineNum"> 110</span> <span class="tlaGNC"> 8 : }</span></span>
|
||||
<span id="L111"><span class="lineNum"> 111</span> : }</span>
|
||||
</pre>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
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<tr>
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<table cellpadding=1 border=0 width="100%">
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<tr>
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<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - KDB.h<span style="font-size: 80%;"> (<a href="KDB.h.gcov.html">source</a> / functions)</span></td>
|
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<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
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</tr>
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<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<center>
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<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
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<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><a href="KDB.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
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<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="KDB.h.gcov.html#L20">bayesnet::KDB::~KDB()</a></td>
|
||||
|
||||
<td class="coverFnHi">44</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
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<br>
|
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</center>
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
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<tr>
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<td width="100%">
|
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<table cellpadding=1 border=0 width="100%">
|
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<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - KDB.h<span style="font-size: 80%;"> (<a href="KDB.h.gcov.html">source</a> / functions)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
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<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<center>
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<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
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<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
|
||||
|
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<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><a href="KDB.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
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||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="KDB.h.gcov.html#L20">bayesnet::KDB::~KDB()</a></td>
|
||||
|
||||
<td class="coverFnHi">44</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
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</center>
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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|
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
|
||||
|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
||||
<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDB.h</title>
|
||||
<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
||||
</head>
|
||||
|
||||
<body>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="title">LCOV - code coverage report</td></tr>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
|
||||
<tr>
|
||||
<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
||||
<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - KDB.h<span style="font-size: 80%;"> (source / <a href="KDB.h.func-c.html">functions</a>)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
|
||||
<table cellpadding=0 cellspacing=0 border=0>
|
||||
<tr>
|
||||
<td><br></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>
|
||||
<pre class="sourceHeading"> Line data Source code</pre>
|
||||
<pre class="source">
|
||||
<span id="L1"><span class="lineNum"> 1</span> : // ***************************************************************</span>
|
||||
<span id="L2"><span class="lineNum"> 2</span> : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
|
||||
<span id="L3"><span class="lineNum"> 3</span> : // SPDX-FileType: SOURCE</span>
|
||||
<span id="L4"><span class="lineNum"> 4</span> : // SPDX-License-Identifier: MIT</span>
|
||||
<span id="L5"><span class="lineNum"> 5</span> : // ***************************************************************</span>
|
||||
<span id="L6"><span class="lineNum"> 6</span> : </span>
|
||||
<span id="L7"><span class="lineNum"> 7</span> : #ifndef KDB_H</span>
|
||||
<span id="L8"><span class="lineNum"> 8</span> : #define KDB_H</span>
|
||||
<span id="L9"><span class="lineNum"> 9</span> : #include <torch/torch.h></span>
|
||||
<span id="L10"><span class="lineNum"> 10</span> : #include "bayesnet/utils/bayesnetUtils.h"</span>
|
||||
<span id="L11"><span class="lineNum"> 11</span> : #include "Classifier.h"</span>
|
||||
<span id="L12"><span class="lineNum"> 12</span> : namespace bayesnet {</span>
|
||||
<span id="L13"><span class="lineNum"> 13</span> : class KDB : public Classifier {</span>
|
||||
<span id="L14"><span class="lineNum"> 14</span> : private:</span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> : int k;</span>
|
||||
<span id="L16"><span class="lineNum"> 16</span> : float theta;</span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> : void add_m_edges(int idx, std::vector<int>& S, torch::Tensor& weights);</span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> : protected:</span>
|
||||
<span id="L19"><span class="lineNum"> 19</span> : void buildModel(const torch::Tensor& weights) override;</span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> : public:</span>
|
||||
<span id="L21"><span class="lineNum"> 21</span> : explicit KDB(int k, float theta = 0.03);</span>
|
||||
<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC tlaBgGNC"> 44 : virtual ~KDB() = default;</span></span>
|
||||
<span id="L23"><span class="lineNum"> 23</span> : void setHyperparameters(const nlohmann::json& hyperparameters_) override;</span>
|
||||
<span id="L24"><span class="lineNum"> 24</span> : std::vector<std::string> graph(const std::string& name = "KDB") const override;</span>
|
||||
<span id="L25"><span class="lineNum"> 25</span> : };</span>
|
||||
<span id="L26"><span class="lineNum"> 26</span> : }</span>
|
||||
<span id="L27"><span class="lineNum"> 27</span> : #endif</span>
|
||||
</pre>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
@ -1,27 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
|
||||
|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDB.h</title>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
||||
<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
||||
</head>
|
||||
|
||||
<body>
|
||||
<map name="overview">
|
||||
<area shape="rect" coords="0,0,79,3" href="KDB.h.gcov.html#L1" target="source" alt="overview">
|
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<area shape="rect" coords="0,4,79,7" href="KDB.h.gcov.html#L1" target="source" alt="overview">
|
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<area shape="rect" coords="0,8,79,11" href="KDB.h.gcov.html#L1" target="source" alt="overview">
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<area shape="rect" coords="0,12,79,15" href="KDB.h.gcov.html#L1" target="source" alt="overview">
|
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<area shape="rect" coords="0,16,79,19" href="KDB.h.gcov.html#L5" target="source" alt="overview">
|
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<area shape="rect" coords="0,20,79,23" href="KDB.h.gcov.html#L9" target="source" alt="overview">
|
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<area shape="rect" coords="0,24,79,27" href="KDB.h.gcov.html#L13" target="source" alt="overview">
|
||||
</map>
|
||||
|
||||
<center>
|
||||
<a href="KDB.h.gcov.html#top" target="source">Top</a><br><br>
|
||||
<img src="KDB.h.gcov.png" width=80 height=26 alt="Overview" border=0 usemap="#overview">
|
||||
</center>
|
||||
</body>
|
||||
</html>
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 279 B |
@ -1,111 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
|
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|
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<html lang="en">
|
||||
|
||||
<head>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
||||
<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDBLd.cc - functions</title>
|
||||
<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
||||
</head>
|
||||
|
||||
<body>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="title">LCOV - code coverage report</td></tr>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
|
||||
<tr>
|
||||
<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
||||
<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - KDBLd.cc<span style="font-size: 80%;"> (<a href="KDBLd.cc.gcov.html">source</a> / functions)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">17</td>
|
||||
<td class="headerCovTableEntry">17</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">4</td>
|
||||
<td class="headerCovTableEntry">4</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
|
||||
<center>
|
||||
<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
||||
<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><a href="KDBLd.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
|
||||
|
||||
<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="KDBLd.cc.gcov.html#L29">bayesnet::KDBLd::graph(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) const</a></td>
|
||||
|
||||
<td class="coverFnHi">4</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="KDBLd.cc.gcov.html#L24">bayesnet::KDBLd::predict(at::Tensor&)</a></td>
|
||||
|
||||
<td class="coverFnHi">16</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="KDBLd.cc.gcov.html#L9">bayesnet::KDBLd::fit(at::Tensor&, at::Tensor&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&)</a></td>
|
||||
|
||||
<td class="coverFnHi">20</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="KDBLd.cc.gcov.html#L8">bayesnet::KDBLd::KDBLd(int)</a></td>
|
||||
|
||||
<td class="coverFnHi">68</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
</center>
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
@ -1,111 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
|
||||
|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
||||
<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDBLd.cc - functions</title>
|
||||
<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
||||
</head>
|
||||
|
||||
<body>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="title">LCOV - code coverage report</td></tr>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
|
||||
<tr>
|
||||
<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
||||
<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - KDBLd.cc<span style="font-size: 80%;"> (<a href="KDBLd.cc.gcov.html">source</a> / functions)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">17</td>
|
||||
<td class="headerCovTableEntry">17</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">4</td>
|
||||
<td class="headerCovTableEntry">4</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
|
||||
<center>
|
||||
<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
||||
<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
|
||||
|
||||
<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><a href="KDBLd.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="KDBLd.cc.gcov.html#L8">bayesnet::KDBLd::KDBLd(int)</a></td>
|
||||
|
||||
<td class="coverFnHi">68</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="KDBLd.cc.gcov.html#L9">bayesnet::KDBLd::fit(at::Tensor&, at::Tensor&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&)</a></td>
|
||||
|
||||
<td class="coverFnHi">20</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="KDBLd.cc.gcov.html#L29">bayesnet::KDBLd::graph(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) const</a></td>
|
||||
|
||||
<td class="coverFnHi">4</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="KDBLd.cc.gcov.html#L24">bayesnet::KDBLd::predict(at::Tensor&)</a></td>
|
||||
|
||||
<td class="coverFnHi">16</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
</center>
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<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
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<tr>
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<table cellpadding=1 border=0 width="100%">
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<tr>
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<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - KDBLd.cc<span style="font-size: 80%;"> (source / <a href="KDBLd.cc.func-c.html">functions</a>)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">17</td>
|
||||
<td class="headerCovTableEntry">17</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">4</td>
|
||||
<td class="headerCovTableEntry">4</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
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|
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</td>
|
||||
</tr>
|
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|
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
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</table>
|
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|
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<table cellpadding=0 cellspacing=0 border=0>
|
||||
<tr>
|
||||
<td><br></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>
|
||||
<pre class="sourceHeading"> Line data Source code</pre>
|
||||
<pre class="source">
|
||||
<span id="L1"><span class="lineNum"> 1</span> : // ***************************************************************</span>
|
||||
<span id="L2"><span class="lineNum"> 2</span> : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
|
||||
<span id="L3"><span class="lineNum"> 3</span> : // SPDX-FileType: SOURCE</span>
|
||||
<span id="L4"><span class="lineNum"> 4</span> : // SPDX-License-Identifier: MIT</span>
|
||||
<span id="L5"><span class="lineNum"> 5</span> : // ***************************************************************</span>
|
||||
<span id="L6"><span class="lineNum"> 6</span> : </span>
|
||||
<span id="L7"><span class="lineNum"> 7</span> : #include "KDBLd.h"</span>
|
||||
<span id="L8"><span class="lineNum"> 8</span> : </span>
|
||||
<span id="L9"><span class="lineNum"> 9</span> : namespace bayesnet {</span>
|
||||
<span id="L10"><span class="lineNum"> 10</span> <span class="tlaGNC tlaBgGNC"> 68 : KDBLd::KDBLd(int k) : KDB(k), Proposal(dataset, features, className) {}</span></span>
|
||||
<span id="L11"><span class="lineNum"> 11</span> <span class="tlaGNC"> 20 : KDBLd& KDBLd::fit(torch::Tensor& X_, torch::Tensor& y_, const std::vector<std::string>& features_, const std::string& className_, map<std::string, std::vector<int>>& states_)</span></span>
|
||||
<span id="L12"><span class="lineNum"> 12</span> : {</span>
|
||||
<span id="L13"><span class="lineNum"> 13</span> <span class="tlaGNC"> 20 : checkInput(X_, y_);</span></span>
|
||||
<span id="L14"><span class="lineNum"> 14</span> <span class="tlaGNC"> 20 : features = features_;</span></span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> <span class="tlaGNC"> 20 : className = className_;</span></span>
|
||||
<span id="L16"><span class="lineNum"> 16</span> <span class="tlaGNC"> 20 : Xf = X_;</span></span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC"> 20 : y = y_;</span></span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> : // Fills std::vectors Xv & yv with the data from tensors X_ (discretized) & y</span>
|
||||
<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC"> 20 : states = fit_local_discretization(y);</span></span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> : // We have discretized the input data</span>
|
||||
<span id="L21"><span class="lineNum"> 21</span> : // 1st we need to fit the model to build the normal KDB structure, KDB::fit initializes the base Bayesian network</span>
|
||||
<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC"> 20 : KDB::fit(dataset, features, className, states);</span></span>
|
||||
<span id="L23"><span class="lineNum"> 23</span> <span class="tlaGNC"> 20 : states = localDiscretizationProposal(states, model);</span></span>
|
||||
<span id="L24"><span class="lineNum"> 24</span> <span class="tlaGNC"> 20 : return *this;</span></span>
|
||||
<span id="L25"><span class="lineNum"> 25</span> : }</span>
|
||||
<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC"> 16 : torch::Tensor KDBLd::predict(torch::Tensor& X)</span></span>
|
||||
<span id="L27"><span class="lineNum"> 27</span> : {</span>
|
||||
<span id="L28"><span class="lineNum"> 28</span> <span class="tlaGNC"> 16 : auto Xt = prepareX(X);</span></span>
|
||||
<span id="L29"><span class="lineNum"> 29</span> <span class="tlaGNC"> 32 : return KDB::predict(Xt);</span></span>
|
||||
<span id="L30"><span class="lineNum"> 30</span> <span class="tlaGNC"> 16 : }</span></span>
|
||||
<span id="L31"><span class="lineNum"> 31</span> <span class="tlaGNC"> 4 : std::vector<std::string> KDBLd::graph(const std::string& name) const</span></span>
|
||||
<span id="L32"><span class="lineNum"> 32</span> : {</span>
|
||||
<span id="L33"><span class="lineNum"> 33</span> <span class="tlaGNC"> 4 : return KDB::graph(name);</span></span>
|
||||
<span id="L34"><span class="lineNum"> 34</span> : }</span>
|
||||
<span id="L35"><span class="lineNum"> 35</span> : }</span>
|
||||
</pre>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
@ -1,29 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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|
||||
<html lang="en">
|
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDBLd.cc</title>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
||||
<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
||||
</head>
|
||||
|
||||
<body>
|
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<map name="overview">
|
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<area shape="rect" coords="0,0,79,3" href="KDBLd.cc.gcov.html#L1" target="source" alt="overview">
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<area shape="rect" coords="0,32,79,35" href="KDBLd.cc.gcov.html#L21" target="source" alt="overview">
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</map>
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<center>
|
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<a href="KDBLd.cc.gcov.html#top" target="source">Top</a><br><br>
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<img src="KDBLd.cc.gcov.png" width=80 height=34 alt="Overview" border=0 usemap="#overview">
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</body>
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@ -1,90 +0,0 @@
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDBLd.h - functions</title>
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<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
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</head>
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||||
|
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<body>
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|
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<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
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<tr><td class="title">LCOV - code coverage report</td></tr>
|
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
|
||||
<tr>
|
||||
<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
||||
<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - KDBLd.h<span style="font-size: 80%;"> (<a href="KDBLd.h.gcov.html">source</a> / functions)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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</table>
|
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</td>
|
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</tr>
|
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|
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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</table>
|
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<center>
|
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<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
||||
<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><a href="KDBLd.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
|
||||
|
||||
<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="KDBLd.h.gcov.html#L15">bayesnet::KDBLd::~KDBLd()</a></td>
|
||||
|
||||
<td class="coverFnHi">20</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
</center>
|
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<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
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<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
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<br>
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@ -1,90 +0,0 @@
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<html lang="en">
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|
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<head>
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<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDBLd.h - functions</title>
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<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
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</head>
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|
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<body>
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<table width="100%" border=0 cellspacing=0 cellpadding=0>
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<tr><td class="title">LCOV - code coverage report</td></tr>
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
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|
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<tr>
|
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<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
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<tr>
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<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - KDBLd.h<span style="font-size: 80%;"> (<a href="KDBLd.h.gcov.html">source</a> / functions)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
|
||||
<center>
|
||||
<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
||||
<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
|
||||
|
||||
<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><a href="KDBLd.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="KDBLd.h.gcov.html#L15">bayesnet::KDBLd::~KDBLd()</a></td>
|
||||
|
||||
<td class="coverFnHi">20</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
</center>
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
|
||||
</table>
|
||||
<br>
|
||||
|
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</body>
|
||||
</html>
|
||||
@ -1,19 +0,0 @@
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||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
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<html lang="en">
|
||||
|
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<head>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDBLd.h</title>
|
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<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
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</head>
|
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|
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<frameset cols="120,*">
|
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<frame src="KDBLd.h.gcov.overview.html" name="overview">
|
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<frame src="KDBLd.h.gcov.html" name="source">
|
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<noframes>
|
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<center>Frames not supported by your browser!<br></center>
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</noframes>
|
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</frameset>
|
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|
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</html>
|
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@ -1,108 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
|
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|
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<html lang="en">
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|
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<head>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDBLd.h</title>
|
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<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
||||
</head>
|
||||
|
||||
<body>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="title">LCOV - code coverage report</td></tr>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
|
||||
<tr>
|
||||
<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
||||
<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - KDBLd.h<span style="font-size: 80%;"> (source / <a href="KDBLd.h.func-c.html">functions</a>)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
|
||||
<table cellpadding=0 cellspacing=0 border=0>
|
||||
<tr>
|
||||
<td><br></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>
|
||||
<pre class="sourceHeading"> Line data Source code</pre>
|
||||
<pre class="source">
|
||||
<span id="L1"><span class="lineNum"> 1</span> : // ***************************************************************</span>
|
||||
<span id="L2"><span class="lineNum"> 2</span> : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
|
||||
<span id="L3"><span class="lineNum"> 3</span> : // SPDX-FileType: SOURCE</span>
|
||||
<span id="L4"><span class="lineNum"> 4</span> : // SPDX-License-Identifier: MIT</span>
|
||||
<span id="L5"><span class="lineNum"> 5</span> : // ***************************************************************</span>
|
||||
<span id="L6"><span class="lineNum"> 6</span> : </span>
|
||||
<span id="L7"><span class="lineNum"> 7</span> : #ifndef KDBLD_H</span>
|
||||
<span id="L8"><span class="lineNum"> 8</span> : #define KDBLD_H</span>
|
||||
<span id="L9"><span class="lineNum"> 9</span> : #include "Proposal.h"</span>
|
||||
<span id="L10"><span class="lineNum"> 10</span> : #include "KDB.h"</span>
|
||||
<span id="L11"><span class="lineNum"> 11</span> : </span>
|
||||
<span id="L12"><span class="lineNum"> 12</span> : namespace bayesnet {</span>
|
||||
<span id="L13"><span class="lineNum"> 13</span> : class KDBLd : public KDB, public Proposal {</span>
|
||||
<span id="L14"><span class="lineNum"> 14</span> : private:</span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> : public:</span>
|
||||
<span id="L16"><span class="lineNum"> 16</span> : explicit KDBLd(int k);</span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC tlaBgGNC"> 20 : virtual ~KDBLd() = default;</span></span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> : KDBLd& fit(torch::Tensor& X, torch::Tensor& y, const std::vector<std::string>& features, const std::string& className, map<std::string, std::vector<int>>& states) override;</span>
|
||||
<span id="L19"><span class="lineNum"> 19</span> : std::vector<std::string> graph(const std::string& name = "KDB") const override;</span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> : torch::Tensor predict(torch::Tensor& X) override;</span>
|
||||
<span id="L21"><span class="lineNum"> 21</span> : static inline std::string version() { return "0.0.1"; };</span>
|
||||
<span id="L22"><span class="lineNum"> 22</span> : };</span>
|
||||
<span id="L23"><span class="lineNum"> 23</span> : }</span>
|
||||
<span id="L24"><span class="lineNum"> 24</span> : #endif // !KDBLD_H</span>
|
||||
</pre>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
@ -1,26 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
|
||||
|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/KDBLd.h</title>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
||||
<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
||||
</head>
|
||||
|
||||
<body>
|
||||
<map name="overview">
|
||||
<area shape="rect" coords="0,0,79,3" href="KDBLd.h.gcov.html#L1" target="source" alt="overview">
|
||||
<area shape="rect" coords="0,4,79,7" href="KDBLd.h.gcov.html#L1" target="source" alt="overview">
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<area shape="rect" coords="0,8,79,11" href="KDBLd.h.gcov.html#L1" target="source" alt="overview">
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<area shape="rect" coords="0,12,79,15" href="KDBLd.h.gcov.html#L1" target="source" alt="overview">
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<area shape="rect" coords="0,16,79,19" href="KDBLd.h.gcov.html#L5" target="source" alt="overview">
|
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<area shape="rect" coords="0,20,79,23" href="KDBLd.h.gcov.html#L9" target="source" alt="overview">
|
||||
</map>
|
||||
|
||||
<center>
|
||||
<a href="KDBLd.h.gcov.html#top" target="source">Top</a><br><br>
|
||||
<img src="KDBLd.h.gcov.png" width=80 height=23 alt="Overview" border=0 usemap="#overview">
|
||||
</center>
|
||||
</body>
|
||||
</html>
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 265 B |
@ -1,139 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
|
||||
|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
||||
<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Proposal.cc - functions</title>
|
||||
<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
||||
</head>
|
||||
|
||||
<body>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="title">LCOV - code coverage report</td></tr>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
|
||||
<tr>
|
||||
<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
||||
<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - Proposal.cc<span style="font-size: 80%;"> (<a href="Proposal.cc.gcov.html">source</a> / functions)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">97.7 %</td>
|
||||
<td class="headerCovTableEntry">86</td>
|
||||
<td class="headerCovTableEntry">84</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">8</td>
|
||||
<td class="headerCovTableEntry">8</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
|
||||
<center>
|
||||
<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
||||
<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><a href="Proposal.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
|
||||
|
||||
<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Proposal.cc.gcov.html#L104">bayesnet::Proposal::prepareX(at::Tensor&)</a></td>
|
||||
|
||||
<td class="coverFnHi">168</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Proposal.cc.gcov.html#L10">bayesnet::Proposal::~Proposal()</a></td>
|
||||
|
||||
<td class="coverFnHi">200</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Proposal.cc.gcov.html#L25">bayesnet::Proposal::localDiscretizationProposal(std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > > const&, bayesnet::Network&)</a></td>
|
||||
|
||||
<td class="coverFnHi">212</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Proposal.cc.gcov.html#L16">bayesnet::Proposal::checkInput(at::Tensor const&, at::Tensor const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">228</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Proposal.cc.gcov.html#L77">bayesnet::Proposal::fit_local_discretization[abi:cxx11](at::Tensor const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">232</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Proposal.cc.gcov.html#L9">bayesnet::Proposal::Proposal(at::Tensor&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&)</a></td>
|
||||
|
||||
<td class="coverFnHi">424</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Proposal.cc.gcov.html#L47">auto bayesnet::Proposal::localDiscretizationProposal(std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > > const&, bayesnet::Network&)::{lambda(auto:1 const&)#2}::operator()<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) const</a></td>
|
||||
|
||||
<td class="coverFnHi">1372</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Proposal.cc.gcov.html#L41">auto bayesnet::Proposal::localDiscretizationProposal(std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > > const&, bayesnet::Network&)::{lambda(auto:1 const&)#1}::operator()<bayesnet::Node*>(bayesnet::Node* const&) const</a></td>
|
||||
|
||||
<td class="coverFnHi">2696</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
</center>
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
@ -1,139 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
|
||||
|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
||||
<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Proposal.cc - functions</title>
|
||||
<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
||||
</head>
|
||||
|
||||
<body>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="title">LCOV - code coverage report</td></tr>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
|
||||
<tr>
|
||||
<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
||||
<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - Proposal.cc<span style="font-size: 80%;"> (<a href="Proposal.cc.gcov.html">source</a> / functions)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">97.7 %</td>
|
||||
<td class="headerCovTableEntry">86</td>
|
||||
<td class="headerCovTableEntry">84</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">8</td>
|
||||
<td class="headerCovTableEntry">8</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
|
||||
<center>
|
||||
<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
||||
<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
|
||||
|
||||
<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><a href="Proposal.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Proposal.cc.gcov.html#L41">auto bayesnet::Proposal::localDiscretizationProposal(std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > > const&, bayesnet::Network&)::{lambda(auto:1 const&)#1}::operator()<bayesnet::Node*>(bayesnet::Node* const&) const</a></td>
|
||||
|
||||
<td class="coverFnHi">2696</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Proposal.cc.gcov.html#L47">auto bayesnet::Proposal::localDiscretizationProposal(std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > > const&, bayesnet::Network&)::{lambda(auto:1 const&)#2}::operator()<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) const</a></td>
|
||||
|
||||
<td class="coverFnHi">1372</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Proposal.cc.gcov.html#L9">bayesnet::Proposal::Proposal(at::Tensor&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&)</a></td>
|
||||
|
||||
<td class="coverFnHi">424</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Proposal.cc.gcov.html#L16">bayesnet::Proposal::checkInput(at::Tensor const&, at::Tensor const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">228</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Proposal.cc.gcov.html#L77">bayesnet::Proposal::fit_local_discretization[abi:cxx11](at::Tensor const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">232</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Proposal.cc.gcov.html#L25">bayesnet::Proposal::localDiscretizationProposal(std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > > const&, bayesnet::Network&)</a></td>
|
||||
|
||||
<td class="coverFnHi">212</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Proposal.cc.gcov.html#L104">bayesnet::Proposal::prepareX(at::Tensor&)</a></td>
|
||||
|
||||
<td class="coverFnHi">168</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="Proposal.cc.gcov.html#L10">bayesnet::Proposal::~Proposal()</a></td>
|
||||
|
||||
<td class="coverFnHi">200</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
</center>
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
@ -1,19 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
|
||||
|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
||||
<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Proposal.cc</title>
|
||||
<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
||||
</head>
|
||||
|
||||
<frameset cols="120,*">
|
||||
<frame src="Proposal.cc.gcov.overview.html" name="overview">
|
||||
<frame src="Proposal.cc.gcov.html" name="source">
|
||||
<noframes>
|
||||
<center>Frames not supported by your browser!<br></center>
|
||||
</noframes>
|
||||
</frameset>
|
||||
|
||||
</html>
|
||||
@ -1,200 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
|
||||
|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
||||
<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Proposal.cc</title>
|
||||
<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
||||
</head>
|
||||
|
||||
<body>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="title">LCOV - code coverage report</td></tr>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
|
||||
<tr>
|
||||
<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
||||
<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - Proposal.cc<span style="font-size: 80%;"> (source / <a href="Proposal.cc.func-c.html">functions</a>)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">97.7 %</td>
|
||||
<td class="headerCovTableEntry">86</td>
|
||||
<td class="headerCovTableEntry">84</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">8</td>
|
||||
<td class="headerCovTableEntry">8</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
|
||||
<table cellpadding=0 cellspacing=0 border=0>
|
||||
<tr>
|
||||
<td><br></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>
|
||||
<pre class="sourceHeading"> Line data Source code</pre>
|
||||
<pre class="source">
|
||||
<span id="L1"><span class="lineNum"> 1</span> : // ***************************************************************</span>
|
||||
<span id="L2"><span class="lineNum"> 2</span> : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
|
||||
<span id="L3"><span class="lineNum"> 3</span> : // SPDX-FileType: SOURCE</span>
|
||||
<span id="L4"><span class="lineNum"> 4</span> : // SPDX-License-Identifier: MIT</span>
|
||||
<span id="L5"><span class="lineNum"> 5</span> : // ***************************************************************</span>
|
||||
<span id="L6"><span class="lineNum"> 6</span> : </span>
|
||||
<span id="L7"><span class="lineNum"> 7</span> : #include <ArffFiles.h></span>
|
||||
<span id="L8"><span class="lineNum"> 8</span> : #include "Proposal.h"</span>
|
||||
<span id="L9"><span class="lineNum"> 9</span> : </span>
|
||||
<span id="L10"><span class="lineNum"> 10</span> : namespace bayesnet {</span>
|
||||
<span id="L11"><span class="lineNum"> 11</span> <span class="tlaGNC tlaBgGNC"> 424 : Proposal::Proposal(torch::Tensor& dataset_, std::vector<std::string>& features_, std::string& className_) : pDataset(dataset_), pFeatures(features_), pClassName(className_) {}</span></span>
|
||||
<span id="L12"><span class="lineNum"> 12</span> <span class="tlaGNC"> 200 : Proposal::~Proposal()</span></span>
|
||||
<span id="L13"><span class="lineNum"> 13</span> : {</span>
|
||||
<span id="L14"><span class="lineNum"> 14</span> <span class="tlaGNC"> 1896 : for (auto& [key, value] : discretizers) {</span></span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> <span class="tlaGNC"> 1696 : delete value;</span></span>
|
||||
<span id="L16"><span class="lineNum"> 16</span> : }</span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC"> 200 : }</span></span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> <span class="tlaGNC"> 228 : void Proposal::checkInput(const torch::Tensor& X, const torch::Tensor& y)</span></span>
|
||||
<span id="L19"><span class="lineNum"> 19</span> : {</span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 228 : if (!torch::is_floating_point(X)) {</span></span>
|
||||
<span id="L21"><span class="lineNum"> 21</span> <span class="tlaUNC tlaBgUNC"> 0 : throw std::invalid_argument("X must be a floating point tensor");</span></span>
|
||||
<span id="L22"><span class="lineNum"> 22</span> : }</span>
|
||||
<span id="L23"><span class="lineNum"> 23</span> <span class="tlaGNC tlaBgGNC"> 228 : if (torch::is_floating_point(y)) {</span></span>
|
||||
<span id="L24"><span class="lineNum"> 24</span> <span class="tlaUNC tlaBgUNC"> 0 : throw std::invalid_argument("y must be an integer tensor");</span></span>
|
||||
<span id="L25"><span class="lineNum"> 25</span> : }</span>
|
||||
<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC tlaBgGNC"> 228 : }</span></span>
|
||||
<span id="L27"><span class="lineNum"> 27</span> <span class="tlaGNC"> 212 : map<std::string, std::vector<int>> Proposal::localDiscretizationProposal(const map<std::string, std::vector<int>>& oldStates, Network& model)</span></span>
|
||||
<span id="L28"><span class="lineNum"> 28</span> : {</span>
|
||||
<span id="L29"><span class="lineNum"> 29</span> : // order of local discretization is important. no good 0, 1, 2...</span>
|
||||
<span id="L30"><span class="lineNum"> 30</span> : // although we rediscretize features after the local discretization of every feature</span>
|
||||
<span id="L31"><span class="lineNum"> 31</span> <span class="tlaGNC"> 212 : auto order = model.topological_sort();</span></span>
|
||||
<span id="L32"><span class="lineNum"> 32</span> <span class="tlaGNC"> 212 : auto& nodes = model.getNodes();</span></span>
|
||||
<span id="L33"><span class="lineNum"> 33</span> <span class="tlaGNC"> 212 : map<std::string, std::vector<int>> states = oldStates;</span></span>
|
||||
<span id="L34"><span class="lineNum"> 34</span> <span class="tlaGNC"> 212 : std::vector<int> indicesToReDiscretize;</span></span>
|
||||
<span id="L35"><span class="lineNum"> 35</span> <span class="tlaGNC"> 212 : bool upgrade = false; // Flag to check if we need to upgrade the model</span></span>
|
||||
<span id="L36"><span class="lineNum"> 36</span> <span class="tlaGNC"> 1776 : for (auto feature : order) {</span></span>
|
||||
<span id="L37"><span class="lineNum"> 37</span> <span class="tlaGNC"> 1564 : auto nodeParents = nodes[feature]->getParents();</span></span>
|
||||
<span id="L38"><span class="lineNum"> 38</span> <span class="tlaGNC"> 1564 : if (nodeParents.size() < 2) continue; // Only has class as parent</span></span>
|
||||
<span id="L39"><span class="lineNum"> 39</span> <span class="tlaGNC"> 1324 : upgrade = true;</span></span>
|
||||
<span id="L40"><span class="lineNum"> 40</span> <span class="tlaGNC"> 1324 : int index = find(pFeatures.begin(), pFeatures.end(), feature) - pFeatures.begin();</span></span>
|
||||
<span id="L41"><span class="lineNum"> 41</span> <span class="tlaGNC"> 1324 : indicesToReDiscretize.push_back(index); // We need to re-discretize this feature</span></span>
|
||||
<span id="L42"><span class="lineNum"> 42</span> <span class="tlaGNC"> 1324 : std::vector<std::string> parents;</span></span>
|
||||
<span id="L43"><span class="lineNum"> 43</span> <span class="tlaGNC"> 4020 : transform(nodeParents.begin(), nodeParents.end(), back_inserter(parents), [](const auto& p) { return p->getName(); });</span></span>
|
||||
<span id="L44"><span class="lineNum"> 44</span> : // Remove class as parent as it will be added later</span>
|
||||
<span id="L45"><span class="lineNum"> 45</span> <span class="tlaGNC"> 1324 : parents.erase(remove(parents.begin(), parents.end(), pClassName), parents.end());</span></span>
|
||||
<span id="L46"><span class="lineNum"> 46</span> : // Get the indices of the parents</span>
|
||||
<span id="L47"><span class="lineNum"> 47</span> <span class="tlaGNC"> 1324 : std::vector<int> indices;</span></span>
|
||||
<span id="L48"><span class="lineNum"> 48</span> <span class="tlaGNC"> 1324 : indices.push_back(-1); // Add class index</span></span>
|
||||
<span id="L49"><span class="lineNum"> 49</span> <span class="tlaGNC"> 2696 : transform(parents.begin(), parents.end(), back_inserter(indices), [&](const auto& p) {return find(pFeatures.begin(), pFeatures.end(), p) - pFeatures.begin(); });</span></span>
|
||||
<span id="L50"><span class="lineNum"> 50</span> : // Now we fit the discretizer of the feature, conditioned on its parents and the class i.e. discretizer.fit(X[index], X[indices] + y)</span>
|
||||
<span id="L51"><span class="lineNum"> 51</span> <span class="tlaGNC"> 1324 : std::vector<std::string> yJoinParents(Xf.size(1));</span></span>
|
||||
<span id="L52"><span class="lineNum"> 52</span> <span class="tlaGNC"> 4020 : for (auto idx : indices) {</span></span>
|
||||
<span id="L53"><span class="lineNum"> 53</span> <span class="tlaGNC"> 958640 : for (int i = 0; i < Xf.size(1); ++i) {</span></span>
|
||||
<span id="L54"><span class="lineNum"> 54</span> <span class="tlaGNC"> 2867832 : yJoinParents[i] += to_string(pDataset.index({ idx, i }).item<int>());</span></span>
|
||||
<span id="L55"><span class="lineNum"> 55</span> : }</span>
|
||||
<span id="L56"><span class="lineNum"> 56</span> : }</span>
|
||||
<span id="L57"><span class="lineNum"> 57</span> <span class="tlaGNC"> 1324 : auto arff = ArffFiles();</span></span>
|
||||
<span id="L58"><span class="lineNum"> 58</span> <span class="tlaGNC"> 1324 : auto yxv = arff.factorize(yJoinParents);</span></span>
|
||||
<span id="L59"><span class="lineNum"> 59</span> <span class="tlaGNC"> 2648 : auto xvf_ptr = Xf.index({ index }).data_ptr<float>();</span></span>
|
||||
<span id="L60"><span class="lineNum"> 60</span> <span class="tlaGNC"> 1324 : auto xvf = std::vector<mdlp::precision_t>(xvf_ptr, xvf_ptr + Xf.size(1));</span></span>
|
||||
<span id="L61"><span class="lineNum"> 61</span> <span class="tlaGNC"> 1324 : discretizers[feature]->fit(xvf, yxv);</span></span>
|
||||
<span id="L62"><span class="lineNum"> 62</span> <span class="tlaGNC"> 1804 : }</span></span>
|
||||
<span id="L63"><span class="lineNum"> 63</span> <span class="tlaGNC"> 212 : if (upgrade) {</span></span>
|
||||
<span id="L64"><span class="lineNum"> 64</span> : // Discretize again X (only the affected indices) with the new fitted discretizers</span>
|
||||
<span id="L65"><span class="lineNum"> 65</span> <span class="tlaGNC"> 1536 : for (auto index : indicesToReDiscretize) {</span></span>
|
||||
<span id="L66"><span class="lineNum"> 66</span> <span class="tlaGNC"> 2648 : auto Xt_ptr = Xf.index({ index }).data_ptr<float>();</span></span>
|
||||
<span id="L67"><span class="lineNum"> 67</span> <span class="tlaGNC"> 1324 : auto Xt = std::vector<float>(Xt_ptr, Xt_ptr + Xf.size(1));</span></span>
|
||||
<span id="L68"><span class="lineNum"> 68</span> <span class="tlaGNC"> 5296 : pDataset.index_put_({ index, "..." }, torch::tensor(discretizers[pFeatures[index]]->transform(Xt)));</span></span>
|
||||
<span id="L69"><span class="lineNum"> 69</span> <span class="tlaGNC"> 1324 : auto xStates = std::vector<int>(discretizers[pFeatures[index]]->getCutPoints().size() + 1);</span></span>
|
||||
<span id="L70"><span class="lineNum"> 70</span> <span class="tlaGNC"> 1324 : iota(xStates.begin(), xStates.end(), 0);</span></span>
|
||||
<span id="L71"><span class="lineNum"> 71</span> : //Update new states of the feature/node</span>
|
||||
<span id="L72"><span class="lineNum"> 72</span> <span class="tlaGNC"> 1324 : states[pFeatures[index]] = xStates;</span></span>
|
||||
<span id="L73"><span class="lineNum"> 73</span> <span class="tlaGNC"> 1324 : }</span></span>
|
||||
<span id="L74"><span class="lineNum"> 74</span> <span class="tlaGNC"> 212 : const torch::Tensor weights = torch::full({ pDataset.size(1) }, 1.0 / pDataset.size(1), torch::kDouble);</span></span>
|
||||
<span id="L75"><span class="lineNum"> 75</span> <span class="tlaGNC"> 212 : model.fit(pDataset, weights, pFeatures, pClassName, states);</span></span>
|
||||
<span id="L76"><span class="lineNum"> 76</span> <span class="tlaGNC"> 212 : }</span></span>
|
||||
<span id="L77"><span class="lineNum"> 77</span> <span class="tlaGNC"> 424 : return states;</span></span>
|
||||
<span id="L78"><span class="lineNum"> 78</span> <span class="tlaGNC"> 960128 : }</span></span>
|
||||
<span id="L79"><span class="lineNum"> 79</span> <span class="tlaGNC"> 232 : map<std::string, std::vector<int>> Proposal::fit_local_discretization(const torch::Tensor& y)</span></span>
|
||||
<span id="L80"><span class="lineNum"> 80</span> : {</span>
|
||||
<span id="L81"><span class="lineNum"> 81</span> : // Discretize the continuous input data and build pDataset (Classifier::dataset)</span>
|
||||
<span id="L82"><span class="lineNum"> 82</span> <span class="tlaGNC"> 232 : int m = Xf.size(1);</span></span>
|
||||
<span id="L83"><span class="lineNum"> 83</span> <span class="tlaGNC"> 232 : int n = Xf.size(0);</span></span>
|
||||
<span id="L84"><span class="lineNum"> 84</span> <span class="tlaGNC"> 232 : map<std::string, std::vector<int>> states;</span></span>
|
||||
<span id="L85"><span class="lineNum"> 85</span> <span class="tlaGNC"> 232 : pDataset = torch::zeros({ n + 1, m }, torch::kInt32);</span></span>
|
||||
<span id="L86"><span class="lineNum"> 86</span> <span class="tlaGNC"> 232 : auto yv = std::vector<int>(y.data_ptr<int>(), y.data_ptr<int>() + y.size(0));</span></span>
|
||||
<span id="L87"><span class="lineNum"> 87</span> : // discretize input data by feature(row)</span>
|
||||
<span id="L88"><span class="lineNum"> 88</span> <span class="tlaGNC"> 1944 : for (auto i = 0; i < pFeatures.size(); ++i) {</span></span>
|
||||
<span id="L89"><span class="lineNum"> 89</span> <span class="tlaGNC"> 1712 : auto* discretizer = new mdlp::CPPFImdlp();</span></span>
|
||||
<span id="L90"><span class="lineNum"> 90</span> <span class="tlaGNC"> 3424 : auto Xt_ptr = Xf.index({ i }).data_ptr<float>();</span></span>
|
||||
<span id="L91"><span class="lineNum"> 91</span> <span class="tlaGNC"> 1712 : auto Xt = std::vector<float>(Xt_ptr, Xt_ptr + Xf.size(1));</span></span>
|
||||
<span id="L92"><span class="lineNum"> 92</span> <span class="tlaGNC"> 1712 : discretizer->fit(Xt, yv);</span></span>
|
||||
<span id="L93"><span class="lineNum"> 93</span> <span class="tlaGNC"> 6848 : pDataset.index_put_({ i, "..." }, torch::tensor(discretizer->transform(Xt)));</span></span>
|
||||
<span id="L94"><span class="lineNum"> 94</span> <span class="tlaGNC"> 1712 : auto xStates = std::vector<int>(discretizer->getCutPoints().size() + 1);</span></span>
|
||||
<span id="L95"><span class="lineNum"> 95</span> <span class="tlaGNC"> 1712 : iota(xStates.begin(), xStates.end(), 0);</span></span>
|
||||
<span id="L96"><span class="lineNum"> 96</span> <span class="tlaGNC"> 1712 : states[pFeatures[i]] = xStates;</span></span>
|
||||
<span id="L97"><span class="lineNum"> 97</span> <span class="tlaGNC"> 1712 : discretizers[pFeatures[i]] = discretizer;</span></span>
|
||||
<span id="L98"><span class="lineNum"> 98</span> <span class="tlaGNC"> 1712 : }</span></span>
|
||||
<span id="L99"><span class="lineNum"> 99</span> <span class="tlaGNC"> 232 : int n_classes = torch::max(y).item<int>() + 1;</span></span>
|
||||
<span id="L100"><span class="lineNum"> 100</span> <span class="tlaGNC"> 232 : auto yStates = std::vector<int>(n_classes);</span></span>
|
||||
<span id="L101"><span class="lineNum"> 101</span> <span class="tlaGNC"> 232 : iota(yStates.begin(), yStates.end(), 0);</span></span>
|
||||
<span id="L102"><span class="lineNum"> 102</span> <span class="tlaGNC"> 232 : states[pClassName] = yStates;</span></span>
|
||||
<span id="L103"><span class="lineNum"> 103</span> <span class="tlaGNC"> 696 : pDataset.index_put_({ n, "..." }, y);</span></span>
|
||||
<span id="L104"><span class="lineNum"> 104</span> <span class="tlaGNC"> 464 : return states;</span></span>
|
||||
<span id="L105"><span class="lineNum"> 105</span> <span class="tlaGNC"> 3888 : }</span></span>
|
||||
<span id="L106"><span class="lineNum"> 106</span> <span class="tlaGNC"> 168 : torch::Tensor Proposal::prepareX(torch::Tensor& X)</span></span>
|
||||
<span id="L107"><span class="lineNum"> 107</span> : {</span>
|
||||
<span id="L108"><span class="lineNum"> 108</span> <span class="tlaGNC"> 168 : auto Xtd = torch::zeros_like(X, torch::kInt32);</span></span>
|
||||
<span id="L109"><span class="lineNum"> 109</span> <span class="tlaGNC"> 1376 : for (int i = 0; i < X.size(0); ++i) {</span></span>
|
||||
<span id="L110"><span class="lineNum"> 110</span> <span class="tlaGNC"> 1208 : auto Xt = std::vector<float>(X[i].data_ptr<float>(), X[i].data_ptr<float>() + X.size(1));</span></span>
|
||||
<span id="L111"><span class="lineNum"> 111</span> <span class="tlaGNC"> 1208 : auto Xd = discretizers[pFeatures[i]]->transform(Xt);</span></span>
|
||||
<span id="L112"><span class="lineNum"> 112</span> <span class="tlaGNC"> 3624 : Xtd.index_put_({ i }, torch::tensor(Xd, torch::kInt32));</span></span>
|
||||
<span id="L113"><span class="lineNum"> 113</span> <span class="tlaGNC"> 1208 : }</span></span>
|
||||
<span id="L114"><span class="lineNum"> 114</span> <span class="tlaGNC"> 336 : return Xtd;</span></span>
|
||||
<span id="L115"><span class="lineNum"> 115</span> <span class="tlaGNC"> 1376 : }</span></span>
|
||||
<span id="L116"><span class="lineNum"> 116</span> : }</span>
|
||||
</pre>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
@ -1,49 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<html lang="en">
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Proposal.cc</title>
|
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<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
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</map>
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<center>
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<a href="Proposal.cc.gcov.html#top" target="source">Top</a><br><br>
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<img src="Proposal.cc.gcov.png" width=80 height=115 alt="Overview" border=0 usemap="#overview">
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</center>
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</html>
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Binary file not shown.
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@ -1,104 +0,0 @@
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<head>
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<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODE.cc - functions</title>
|
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<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
||||
</head>
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||||
|
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<body>
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||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="title">LCOV - code coverage report</td></tr>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
|
||||
<tr>
|
||||
<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
||||
<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPODE.cc<span style="font-size: 80%;"> (<a href="SPODE.cc.gcov.html">source</a> / functions)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">10</td>
|
||||
<td class="headerCovTableEntry">10</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">3</td>
|
||||
<td class="headerCovTableEntry">3</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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</table>
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</td>
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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</table>
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<center>
|
||||
<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
||||
<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><a href="SPODE.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
|
||||
|
||||
<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPODE.cc.gcov.html#L24">bayesnet::SPODE::graph(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) const</a></td>
|
||||
|
||||
<td class="coverFnHi">68</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPODE.cc.gcov.html#L11">bayesnet::SPODE::buildModel(at::Tensor const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">1016</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPODE.cc.gcov.html#L9">bayesnet::SPODE::SPODE(int)</a></td>
|
||||
|
||||
<td class="coverFnHi">1124</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
</center>
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
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|
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<br>
|
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|
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</body>
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</html>
|
||||
@ -1,104 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
|
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|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODE.cc - functions</title>
|
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<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
||||
</head>
|
||||
|
||||
<body>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="title">LCOV - code coverage report</td></tr>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
|
||||
<tr>
|
||||
<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
||||
<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPODE.cc<span style="font-size: 80%;"> (<a href="SPODE.cc.gcov.html">source</a> / functions)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">10</td>
|
||||
<td class="headerCovTableEntry">10</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">3</td>
|
||||
<td class="headerCovTableEntry">3</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
|
||||
<center>
|
||||
<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
||||
<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
|
||||
|
||||
<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><a href="SPODE.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPODE.cc.gcov.html#L9">bayesnet::SPODE::SPODE(int)</a></td>
|
||||
|
||||
<td class="coverFnHi">1124</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPODE.cc.gcov.html#L11">bayesnet::SPODE::buildModel(at::Tensor const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">1016</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPODE.cc.gcov.html#L24">bayesnet::SPODE::graph(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) const</a></td>
|
||||
|
||||
<td class="coverFnHi">68</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
</center>
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODE.cc</title>
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|
||||
<table cellpadding=1 border=0 width="100%">
|
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<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPODE.cc<span style="font-size: 80%;"> (source / <a href="SPODE.cc.func-c.html">functions</a>)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">10</td>
|
||||
<td class="headerCovTableEntry">10</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">3</td>
|
||||
<td class="headerCovTableEntry">3</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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</table>
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</td>
|
||||
</tr>
|
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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</table>
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|
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<table cellpadding=0 cellspacing=0 border=0>
|
||||
<tr>
|
||||
<td><br></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>
|
||||
<pre class="sourceHeading"> Line data Source code</pre>
|
||||
<pre class="source">
|
||||
<span id="L1"><span class="lineNum"> 1</span> : // ***************************************************************</span>
|
||||
<span id="L2"><span class="lineNum"> 2</span> : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
|
||||
<span id="L3"><span class="lineNum"> 3</span> : // SPDX-FileType: SOURCE</span>
|
||||
<span id="L4"><span class="lineNum"> 4</span> : // SPDX-License-Identifier: MIT</span>
|
||||
<span id="L5"><span class="lineNum"> 5</span> : // ***************************************************************</span>
|
||||
<span id="L6"><span class="lineNum"> 6</span> : </span>
|
||||
<span id="L7"><span class="lineNum"> 7</span> : #include "SPODE.h"</span>
|
||||
<span id="L8"><span class="lineNum"> 8</span> : </span>
|
||||
<span id="L9"><span class="lineNum"> 9</span> : namespace bayesnet {</span>
|
||||
<span id="L10"><span class="lineNum"> 10</span> : </span>
|
||||
<span id="L11"><span class="lineNum"> 11</span> <span class="tlaGNC tlaBgGNC"> 1124 : SPODE::SPODE(int root) : Classifier(Network()), root(root) {}</span></span>
|
||||
<span id="L12"><span class="lineNum"> 12</span> : </span>
|
||||
<span id="L13"><span class="lineNum"> 13</span> <span class="tlaGNC"> 1016 : void SPODE::buildModel(const torch::Tensor& weights)</span></span>
|
||||
<span id="L14"><span class="lineNum"> 14</span> : {</span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> : // 0. Add all nodes to the model</span>
|
||||
<span id="L16"><span class="lineNum"> 16</span> <span class="tlaGNC"> 1016 : addNodes();</span></span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> : // 1. Add edges from the class node to all other nodes</span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> : // 2. Add edges from the root node to all other nodes</span>
|
||||
<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC"> 25680 : for (int i = 0; i < static_cast<int>(features.size()); ++i) {</span></span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 24664 : model.addEdge(className, features[i]);</span></span>
|
||||
<span id="L21"><span class="lineNum"> 21</span> <span class="tlaGNC"> 24664 : if (i != root) {</span></span>
|
||||
<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC"> 23648 : model.addEdge(features[root], features[i]);</span></span>
|
||||
<span id="L23"><span class="lineNum"> 23</span> : }</span>
|
||||
<span id="L24"><span class="lineNum"> 24</span> : }</span>
|
||||
<span id="L25"><span class="lineNum"> 25</span> <span class="tlaGNC"> 1016 : }</span></span>
|
||||
<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC"> 68 : std::vector<std::string> SPODE::graph(const std::string& name) const</span></span>
|
||||
<span id="L27"><span class="lineNum"> 27</span> : {</span>
|
||||
<span id="L28"><span class="lineNum"> 28</span> <span class="tlaGNC"> 68 : return model.graph(name);</span></span>
|
||||
<span id="L29"><span class="lineNum"> 29</span> : }</span>
|
||||
<span id="L30"><span class="lineNum"> 30</span> : </span>
|
||||
<span id="L31"><span class="lineNum"> 31</span> : }</span>
|
||||
</pre>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
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<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
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|
||||
<br>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
@ -1,28 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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|
||||
<html lang="en">
|
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|
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|
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODE.cc</title>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
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</map>
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<center>
|
||||
<a href="SPODE.cc.gcov.html#top" target="source">Top</a><br><br>
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<img src="SPODE.cc.gcov.png" width=80 height=30 alt="Overview" border=0 usemap="#overview">
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODE.h - functions</title>
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<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
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</head>
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||||
|
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<body>
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<table width="100%" border=0 cellspacing=0 cellpadding=0>
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<tr><td class="title">LCOV - code coverage report</td></tr>
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
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|
||||
<tr>
|
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<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
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<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPODE.h<span style="font-size: 80%;"> (<a href="SPODE.h.gcov.html">source</a> / functions)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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</table>
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</tr>
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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</table>
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<center>
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<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
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<tr>
|
||||
<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><a href="SPODE.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
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||||
<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPODE.h.gcov.html#L17">bayesnet::SPODE::~SPODE()</a></td>
|
||||
|
||||
<td class="coverFnHi">1836</td>
|
||||
|
||||
|
||||
</tr>
|
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</table>
|
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<br>
|
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</center>
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<table width="100%" border=0 cellspacing=0 cellpadding=0>
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
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@ -1,90 +0,0 @@
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODE.h - functions</title>
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<link rel="stylesheet" type="text/css" href="../../gcov.css">
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<tr><td class="title">LCOV - code coverage report</td></tr>
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<tr>
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<td width="100%">
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<table cellpadding=1 border=0 width="100%">
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<td width="10%" class="headerItem">Current view:</td>
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<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPODE.h<span style="font-size: 80%;"> (<a href="SPODE.h.gcov.html">source</a> / functions)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
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</table>
|
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</td>
|
||||
</tr>
|
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|
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
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</table>
|
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|
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<center>
|
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<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
||||
<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
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<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><a href="SPODE.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
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||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPODE.h.gcov.html#L17">bayesnet::SPODE::~SPODE()</a></td>
|
||||
|
||||
<td class="coverFnHi">1836</td>
|
||||
|
||||
|
||||
</tr>
|
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</table>
|
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<br>
|
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</center>
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<table cellpadding=1 border=0 width="100%">
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<td width="10%" class="headerItem">Current view:</td>
|
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<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPODE.h<span style="font-size: 80%;"> (source / <a href="SPODE.h.func-c.html">functions</a>)</span></td>
|
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<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
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<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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</td>
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<table cellpadding=0 cellspacing=0 border=0>
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<tr>
|
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<td><br></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>
|
||||
<pre class="sourceHeading"> Line data Source code</pre>
|
||||
<pre class="source">
|
||||
<span id="L1"><span class="lineNum"> 1</span> : // ***************************************************************</span>
|
||||
<span id="L2"><span class="lineNum"> 2</span> : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
|
||||
<span id="L3"><span class="lineNum"> 3</span> : // SPDX-FileType: SOURCE</span>
|
||||
<span id="L4"><span class="lineNum"> 4</span> : // SPDX-License-Identifier: MIT</span>
|
||||
<span id="L5"><span class="lineNum"> 5</span> : // ***************************************************************</span>
|
||||
<span id="L6"><span class="lineNum"> 6</span> : </span>
|
||||
<span id="L7"><span class="lineNum"> 7</span> : #ifndef SPODE_H</span>
|
||||
<span id="L8"><span class="lineNum"> 8</span> : #define SPODE_H</span>
|
||||
<span id="L9"><span class="lineNum"> 9</span> : #include "Classifier.h"</span>
|
||||
<span id="L10"><span class="lineNum"> 10</span> : </span>
|
||||
<span id="L11"><span class="lineNum"> 11</span> : namespace bayesnet {</span>
|
||||
<span id="L12"><span class="lineNum"> 12</span> : class SPODE : public Classifier {</span>
|
||||
<span id="L13"><span class="lineNum"> 13</span> : private:</span>
|
||||
<span id="L14"><span class="lineNum"> 14</span> : int root;</span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> : protected:</span>
|
||||
<span id="L16"><span class="lineNum"> 16</span> : void buildModel(const torch::Tensor& weights) override;</span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> : public:</span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> : explicit SPODE(int root);</span>
|
||||
<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC tlaBgGNC"> 1836 : virtual ~SPODE() = default;</span></span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> : std::vector<std::string> graph(const std::string& name = "SPODE") const override;</span>
|
||||
<span id="L21"><span class="lineNum"> 21</span> : };</span>
|
||||
<span id="L22"><span class="lineNum"> 22</span> : }</span>
|
||||
<span id="L23"><span class="lineNum"> 23</span> : #endif</span>
|
||||
</pre>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
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<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
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||||
<br>
|
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|
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</body>
|
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</html>
|
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@ -1,26 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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|
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<html lang="en">
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODE.h</title>
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<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
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<map name="overview">
|
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<area shape="rect" coords="0,0,79,3" href="SPODE.h.gcov.html#L1" target="source" alt="overview">
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<center>
|
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<a href="SPODE.h.gcov.html#top" target="source">Top</a><br><br>
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<img src="SPODE.h.gcov.png" width=80 height=22 alt="Overview" border=0 usemap="#overview">
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</center>
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</body>
|
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</html>
|
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Binary file not shown.
|
Before Width: | Height: | Size: 245 B |
@ -1,125 +0,0 @@
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<head>
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<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODELd.cc - functions</title>
|
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<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
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</head>
|
||||
|
||||
<body>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="title">LCOV - code coverage report</td></tr>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
|
||||
<tr>
|
||||
<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
||||
<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPODELd.cc<span style="font-size: 80%;"> (<a href="SPODELd.cc.gcov.html">source</a> / functions)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">26</td>
|
||||
<td class="headerCovTableEntry">26</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">6</td>
|
||||
<td class="headerCovTableEntry">6</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
|
||||
<center>
|
||||
<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
||||
<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><a href="SPODELd.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
|
||||
|
||||
<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPODELd.cc.gcov.html#L17">bayesnet::SPODELd::fit(at::Tensor&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&)</a></td>
|
||||
|
||||
<td class="coverFnHi">8</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPODELd.cc.gcov.html#L44">bayesnet::SPODELd::graph(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) const</a></td>
|
||||
|
||||
<td class="coverFnHi">36</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPODELd.cc.gcov.html#L39">bayesnet::SPODELd::predict(at::Tensor&)</a></td>
|
||||
|
||||
<td class="coverFnHi">136</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPODELd.cc.gcov.html#L9">bayesnet::SPODELd::fit(at::Tensor&, at::Tensor&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&)</a></td>
|
||||
|
||||
<td class="coverFnHi">168</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPODELd.cc.gcov.html#L27">bayesnet::SPODELd::commonFit(std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&)</a></td>
|
||||
|
||||
<td class="coverFnHi">172</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPODELd.cc.gcov.html#L8">bayesnet::SPODELd::SPODELd(int)</a></td>
|
||||
|
||||
<td class="coverFnHi">220</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
</center>
|
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<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
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<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
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<br>
|
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|
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</body>
|
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</html>
|
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@ -1,125 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
|
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|
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<html lang="en">
|
||||
|
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<head>
|
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<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODELd.cc - functions</title>
|
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<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
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</head>
|
||||
|
||||
<body>
|
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|
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<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
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<tr><td class="title">LCOV - code coverage report</td></tr>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
|
||||
<tr>
|
||||
<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
||||
<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPODELd.cc<span style="font-size: 80%;"> (<a href="SPODELd.cc.gcov.html">source</a> / functions)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">26</td>
|
||||
<td class="headerCovTableEntry">26</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">6</td>
|
||||
<td class="headerCovTableEntry">6</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
|
||||
<center>
|
||||
<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
||||
<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
|
||||
|
||||
<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><a href="SPODELd.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPODELd.cc.gcov.html#L8">bayesnet::SPODELd::SPODELd(int)</a></td>
|
||||
|
||||
<td class="coverFnHi">220</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPODELd.cc.gcov.html#L27">bayesnet::SPODELd::commonFit(std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&)</a></td>
|
||||
|
||||
<td class="coverFnHi">172</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPODELd.cc.gcov.html#L9">bayesnet::SPODELd::fit(at::Tensor&, at::Tensor&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&)</a></td>
|
||||
|
||||
<td class="coverFnHi">168</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPODELd.cc.gcov.html#L17">bayesnet::SPODELd::fit(at::Tensor&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&)</a></td>
|
||||
|
||||
<td class="coverFnHi">8</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPODELd.cc.gcov.html#L44">bayesnet::SPODELd::graph(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) const</a></td>
|
||||
|
||||
<td class="coverFnHi">36</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPODELd.cc.gcov.html#L39">bayesnet::SPODELd::predict(at::Tensor&)</a></td>
|
||||
|
||||
<td class="coverFnHi">136</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
</center>
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
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|
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</body>
|
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</html>
|
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@ -1,19 +0,0 @@
|
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
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<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODELd.cc</title>
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<link rel="stylesheet" type="text/css" href="../../gcov.css">
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<frameset cols="120,*">
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<frame src="SPODELd.cc.gcov.overview.html" name="overview">
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<frame src="SPODELd.cc.gcov.html" name="source">
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<noframes>
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<center>Frames not supported by your browser!<br></center>
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@ -1,134 +0,0 @@
|
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<html lang="en">
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<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODELd.cc</title>
|
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<link rel="stylesheet" type="text/css" href="../../gcov.css">
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||||
|
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<body>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="title">LCOV - code coverage report</td></tr>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
|
||||
<tr>
|
||||
<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
||||
<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPODELd.cc<span style="font-size: 80%;"> (source / <a href="SPODELd.cc.func-c.html">functions</a>)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">26</td>
|
||||
<td class="headerCovTableEntry">26</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">6</td>
|
||||
<td class="headerCovTableEntry">6</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
|
||||
<table cellpadding=0 cellspacing=0 border=0>
|
||||
<tr>
|
||||
<td><br></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>
|
||||
<pre class="sourceHeading"> Line data Source code</pre>
|
||||
<pre class="source">
|
||||
<span id="L1"><span class="lineNum"> 1</span> : // ***************************************************************</span>
|
||||
<span id="L2"><span class="lineNum"> 2</span> : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
|
||||
<span id="L3"><span class="lineNum"> 3</span> : // SPDX-FileType: SOURCE</span>
|
||||
<span id="L4"><span class="lineNum"> 4</span> : // SPDX-License-Identifier: MIT</span>
|
||||
<span id="L5"><span class="lineNum"> 5</span> : // ***************************************************************</span>
|
||||
<span id="L6"><span class="lineNum"> 6</span> : </span>
|
||||
<span id="L7"><span class="lineNum"> 7</span> : #include "SPODELd.h"</span>
|
||||
<span id="L8"><span class="lineNum"> 8</span> : </span>
|
||||
<span id="L9"><span class="lineNum"> 9</span> : namespace bayesnet {</span>
|
||||
<span id="L10"><span class="lineNum"> 10</span> <span class="tlaGNC tlaBgGNC"> 220 : SPODELd::SPODELd(int root) : SPODE(root), Proposal(dataset, features, className) {}</span></span>
|
||||
<span id="L11"><span class="lineNum"> 11</span> <span class="tlaGNC"> 168 : SPODELd& SPODELd::fit(torch::Tensor& X_, torch::Tensor& y_, const std::vector<std::string>& features_, const std::string& className_, map<std::string, std::vector<int>>& states_)</span></span>
|
||||
<span id="L12"><span class="lineNum"> 12</span> : {</span>
|
||||
<span id="L13"><span class="lineNum"> 13</span> <span class="tlaGNC"> 168 : checkInput(X_, y_);</span></span>
|
||||
<span id="L14"><span class="lineNum"> 14</span> <span class="tlaGNC"> 168 : Xf = X_;</span></span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> <span class="tlaGNC"> 168 : y = y_;</span></span>
|
||||
<span id="L16"><span class="lineNum"> 16</span> <span class="tlaGNC"> 168 : return commonFit(features_, className_, states_);</span></span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> : }</span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> : </span>
|
||||
<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC"> 8 : SPODELd& SPODELd::fit(torch::Tensor& dataset, const std::vector<std::string>& features_, const std::string& className_, map<std::string, std::vector<int>>& states_)</span></span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> : {</span>
|
||||
<span id="L21"><span class="lineNum"> 21</span> <span class="tlaGNC"> 8 : if (!torch::is_floating_point(dataset)) {</span></span>
|
||||
<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC"> 4 : throw std::runtime_error("Dataset must be a floating point tensor");</span></span>
|
||||
<span id="L23"><span class="lineNum"> 23</span> : }</span>
|
||||
<span id="L24"><span class="lineNum"> 24</span> <span class="tlaGNC"> 16 : Xf = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), "..." }).clone();</span></span>
|
||||
<span id="L25"><span class="lineNum"> 25</span> <span class="tlaGNC"> 12 : y = dataset.index({ -1, "..." }).clone().to(torch::kInt32);</span></span>
|
||||
<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC"> 4 : return commonFit(features_, className_, states_);</span></span>
|
||||
<span id="L27"><span class="lineNum"> 27</span> <span class="tlaGNC"> 12 : }</span></span>
|
||||
<span id="L28"><span class="lineNum"> 28</span> : </span>
|
||||
<span id="L29"><span class="lineNum"> 29</span> <span class="tlaGNC"> 172 : SPODELd& SPODELd::commonFit(const std::vector<std::string>& features_, const std::string& className_, map<std::string, std::vector<int>>& states_)</span></span>
|
||||
<span id="L30"><span class="lineNum"> 30</span> : {</span>
|
||||
<span id="L31"><span class="lineNum"> 31</span> <span class="tlaGNC"> 172 : features = features_;</span></span>
|
||||
<span id="L32"><span class="lineNum"> 32</span> <span class="tlaGNC"> 172 : className = className_;</span></span>
|
||||
<span id="L33"><span class="lineNum"> 33</span> : // Fills std::vectors Xv & yv with the data from tensors X_ (discretized) & y</span>
|
||||
<span id="L34"><span class="lineNum"> 34</span> <span class="tlaGNC"> 172 : states = fit_local_discretization(y);</span></span>
|
||||
<span id="L35"><span class="lineNum"> 35</span> : // We have discretized the input data</span>
|
||||
<span id="L36"><span class="lineNum"> 36</span> : // 1st we need to fit the model to build the normal SPODE structure, SPODE::fit initializes the base Bayesian network</span>
|
||||
<span id="L37"><span class="lineNum"> 37</span> <span class="tlaGNC"> 172 : SPODE::fit(dataset, features, className, states);</span></span>
|
||||
<span id="L38"><span class="lineNum"> 38</span> <span class="tlaGNC"> 172 : states = localDiscretizationProposal(states, model);</span></span>
|
||||
<span id="L39"><span class="lineNum"> 39</span> <span class="tlaGNC"> 172 : return *this;</span></span>
|
||||
<span id="L40"><span class="lineNum"> 40</span> : }</span>
|
||||
<span id="L41"><span class="lineNum"> 41</span> <span class="tlaGNC"> 136 : torch::Tensor SPODELd::predict(torch::Tensor& X)</span></span>
|
||||
<span id="L42"><span class="lineNum"> 42</span> : {</span>
|
||||
<span id="L43"><span class="lineNum"> 43</span> <span class="tlaGNC"> 136 : auto Xt = prepareX(X);</span></span>
|
||||
<span id="L44"><span class="lineNum"> 44</span> <span class="tlaGNC"> 272 : return SPODE::predict(Xt);</span></span>
|
||||
<span id="L45"><span class="lineNum"> 45</span> <span class="tlaGNC"> 136 : }</span></span>
|
||||
<span id="L46"><span class="lineNum"> 46</span> <span class="tlaGNC"> 36 : std::vector<std::string> SPODELd::graph(const std::string& name) const</span></span>
|
||||
<span id="L47"><span class="lineNum"> 47</span> : {</span>
|
||||
<span id="L48"><span class="lineNum"> 48</span> <span class="tlaGNC"> 36 : return SPODE::graph(name);</span></span>
|
||||
<span id="L49"><span class="lineNum"> 49</span> : }</span>
|
||||
<span id="L50"><span class="lineNum"> 50</span> : }</span>
|
||||
</pre>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
|
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|
||||
<br>
|
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|
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</body>
|
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</html>
|
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@ -1,33 +0,0 @@
|
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<html lang="en">
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<img src="SPODELd.cc.gcov.png" width=80 height=49 alt="Overview" border=0 usemap="#overview">
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|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="title">LCOV - code coverage report</td></tr>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
|
||||
<tr>
|
||||
<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
||||
<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPODELd.h<span style="font-size: 80%;"> (<a href="SPODELd.h.gcov.html">source</a> / functions)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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|
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|
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|
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|
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|
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|
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|
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<center>
|
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<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
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<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><a href="SPODELd.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
|
||||
|
||||
<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPODELd.h.gcov.html#L14">bayesnet::SPODELd::~SPODELd()</a></td>
|
||||
|
||||
<td class="coverFnHi">320</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
</center>
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<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPODELd.h<span style="font-size: 80%;"> (<a href="SPODELd.h.gcov.html">source</a> / functions)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<center>
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||||
<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
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<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
|
||||
|
||||
<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><a href="SPODELd.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPODELd.h.gcov.html#L14">bayesnet::SPODELd::~SPODELd()</a></td>
|
||||
|
||||
<td class="coverFnHi">320</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
</center>
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
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|
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</html>
|
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@ -1,19 +0,0 @@
|
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@ -1,109 +0,0 @@
|
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<tr>
|
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<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
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<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPODELd.h<span style="font-size: 80%;"> (source / <a href="SPODELd.h.func-c.html">functions</a>)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
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|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
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</table>
|
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|
||||
<table cellpadding=0 cellspacing=0 border=0>
|
||||
<tr>
|
||||
<td><br></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>
|
||||
<pre class="sourceHeading"> Line data Source code</pre>
|
||||
<pre class="source">
|
||||
<span id="L1"><span class="lineNum"> 1</span> : // ***************************************************************</span>
|
||||
<span id="L2"><span class="lineNum"> 2</span> : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
|
||||
<span id="L3"><span class="lineNum"> 3</span> : // SPDX-FileType: SOURCE</span>
|
||||
<span id="L4"><span class="lineNum"> 4</span> : // SPDX-License-Identifier: MIT</span>
|
||||
<span id="L5"><span class="lineNum"> 5</span> : // ***************************************************************</span>
|
||||
<span id="L6"><span class="lineNum"> 6</span> : </span>
|
||||
<span id="L7"><span class="lineNum"> 7</span> : #ifndef SPODELD_H</span>
|
||||
<span id="L8"><span class="lineNum"> 8</span> : #define SPODELD_H</span>
|
||||
<span id="L9"><span class="lineNum"> 9</span> : #include "SPODE.h"</span>
|
||||
<span id="L10"><span class="lineNum"> 10</span> : #include "Proposal.h"</span>
|
||||
<span id="L11"><span class="lineNum"> 11</span> : </span>
|
||||
<span id="L12"><span class="lineNum"> 12</span> : namespace bayesnet {</span>
|
||||
<span id="L13"><span class="lineNum"> 13</span> : class SPODELd : public SPODE, public Proposal {</span>
|
||||
<span id="L14"><span class="lineNum"> 14</span> : public:</span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> : explicit SPODELd(int root);</span>
|
||||
<span id="L16"><span class="lineNum"> 16</span> <span class="tlaGNC tlaBgGNC"> 320 : virtual ~SPODELd() = default;</span></span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> : SPODELd& fit(torch::Tensor& X, torch::Tensor& y, const std::vector<std::string>& features, const std::string& className, map<std::string, std::vector<int>>& states) override;</span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> : SPODELd& fit(torch::Tensor& dataset, const std::vector<std::string>& features, const std::string& className, map<std::string, std::vector<int>>& states) override;</span>
|
||||
<span id="L19"><span class="lineNum"> 19</span> : SPODELd& commonFit(const std::vector<std::string>& features, const std::string& className, map<std::string, std::vector<int>>& states);</span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> : std::vector<std::string> graph(const std::string& name = "SPODE") const override;</span>
|
||||
<span id="L21"><span class="lineNum"> 21</span> : torch::Tensor predict(torch::Tensor& X) override;</span>
|
||||
<span id="L22"><span class="lineNum"> 22</span> : static inline std::string version() { return "0.0.1"; };</span>
|
||||
<span id="L23"><span class="lineNum"> 23</span> : };</span>
|
||||
<span id="L24"><span class="lineNum"> 24</span> : }</span>
|
||||
<span id="L25"><span class="lineNum"> 25</span> : #endif // !SPODELD_H</span>
|
||||
</pre>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
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<br>
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|
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|
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</html>
|
||||
@ -1,27 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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|
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<html lang="en">
|
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/SPODELd.h</title>
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<center>
|
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<a href="SPODELd.h.gcov.html#top" target="source">Top</a><br><br>
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<img src="SPODELd.h.gcov.png" width=80 height=24 alt="Overview" border=0 usemap="#overview">
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Binary file not shown.
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<tr><td class="title">LCOV - code coverage report</td></tr>
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<tr>
|
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<td width="100%">
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<table cellpadding=1 border=0 width="100%">
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<tr>
|
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<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPnDE.cc<span style="font-size: 80%;"> (<a href="SPnDE.cc.gcov.html">source</a> / functions)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">14</td>
|
||||
<td class="headerCovTableEntry">14</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">3</td>
|
||||
<td class="headerCovTableEntry">3</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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||||
</table>
|
||||
</td>
|
||||
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|
||||
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
|
||||
<center>
|
||||
<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
||||
<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><a href="SPnDE.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
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||||
|
||||
<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPnDE.cc.gcov.html#L31">bayesnet::SPnDE::graph(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) const</a></td>
|
||||
|
||||
<td class="coverFnHi">24</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPnDE.cc.gcov.html#L9">bayesnet::SPnDE::SPnDE(std::vector<int, std::allocator<int> >)</a></td>
|
||||
|
||||
<td class="coverFnHi">456</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPnDE.cc.gcov.html#L11">bayesnet::SPnDE::buildModel(at::Tensor const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">456</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
</center>
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|
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<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">14</td>
|
||||
<td class="headerCovTableEntry">14</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">3</td>
|
||||
<td class="headerCovTableEntry">3</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
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||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<table cellpadding=1 cellspacing=1 border=0>
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<tr>
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<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
|
||||
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<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><a href="SPnDE.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPnDE.cc.gcov.html#L9">bayesnet::SPnDE::SPnDE(std::vector<int, std::allocator<int> >)</a></td>
|
||||
|
||||
<td class="coverFnHi">456</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPnDE.cc.gcov.html#L11">bayesnet::SPnDE::buildModel(at::Tensor const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">456</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPnDE.cc.gcov.html#L31">bayesnet::SPnDE::graph(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) const</a></td>
|
||||
|
||||
<td class="coverFnHi">24</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
</center>
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<table width="100%" border=0 cellspacing=0 cellpadding=0>
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<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
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||||
<table cellpadding=1 border=0 width="100%">
|
||||
<tr>
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||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPnDE.cc<span style="font-size: 80%;"> (source / <a href="SPnDE.cc.func-c.html">functions</a>)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">14</td>
|
||||
<td class="headerCovTableEntry">14</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">3</td>
|
||||
<td class="headerCovTableEntry">3</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<table cellpadding=0 cellspacing=0 border=0>
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|
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<td><br></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>
|
||||
<pre class="sourceHeading"> Line data Source code</pre>
|
||||
<pre class="source">
|
||||
<span id="L1"><span class="lineNum"> 1</span> : // ***************************************************************</span>
|
||||
<span id="L2"><span class="lineNum"> 2</span> : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
|
||||
<span id="L3"><span class="lineNum"> 3</span> : // SPDX-FileType: SOURCE</span>
|
||||
<span id="L4"><span class="lineNum"> 4</span> : // SPDX-License-Identifier: MIT</span>
|
||||
<span id="L5"><span class="lineNum"> 5</span> : // ***************************************************************</span>
|
||||
<span id="L6"><span class="lineNum"> 6</span> : </span>
|
||||
<span id="L7"><span class="lineNum"> 7</span> : #include "SPnDE.h"</span>
|
||||
<span id="L8"><span class="lineNum"> 8</span> : </span>
|
||||
<span id="L9"><span class="lineNum"> 9</span> : namespace bayesnet {</span>
|
||||
<span id="L10"><span class="lineNum"> 10</span> : </span>
|
||||
<span id="L11"><span class="lineNum"> 11</span> <span class="tlaGNC tlaBgGNC"> 456 : SPnDE::SPnDE(std::vector<int> parents) : Classifier(Network()), parents(parents) {}</span></span>
|
||||
<span id="L12"><span class="lineNum"> 12</span> : </span>
|
||||
<span id="L13"><span class="lineNum"> 13</span> <span class="tlaGNC"> 456 : void SPnDE::buildModel(const torch::Tensor& weights)</span></span>
|
||||
<span id="L14"><span class="lineNum"> 14</span> : {</span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> : // 0. Add all nodes to the model</span>
|
||||
<span id="L16"><span class="lineNum"> 16</span> <span class="tlaGNC"> 456 : addNodes();</span></span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC"> 456 : std::vector<int> attributes;</span></span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> <span class="tlaGNC"> 4440 : for (int i = 0; i < static_cast<int>(features.size()); ++i) {</span></span>
|
||||
<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC"> 3984 : if (std::find(parents.begin(), parents.end(), i) == parents.end()) {</span></span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 3072 : attributes.push_back(i);</span></span>
|
||||
<span id="L21"><span class="lineNum"> 21</span> : }</span>
|
||||
<span id="L22"><span class="lineNum"> 22</span> : }</span>
|
||||
<span id="L23"><span class="lineNum"> 23</span> : // 1. Add edges from the class node to all other nodes</span>
|
||||
<span id="L24"><span class="lineNum"> 24</span> : // 2. Add edges from the parents nodes to all other nodes</span>
|
||||
<span id="L25"><span class="lineNum"> 25</span> <span class="tlaGNC"> 3528 : for (const auto& attribute : attributes) {</span></span>
|
||||
<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC"> 3072 : model.addEdge(className, features[attribute]);</span></span>
|
||||
<span id="L27"><span class="lineNum"> 27</span> <span class="tlaGNC"> 9216 : for (const auto& root : parents) {</span></span>
|
||||
<span id="L28"><span class="lineNum"> 28</span> : </span>
|
||||
<span id="L29"><span class="lineNum"> 29</span> <span class="tlaGNC"> 6144 : model.addEdge(features[root], features[attribute]);</span></span>
|
||||
<span id="L30"><span class="lineNum"> 30</span> : }</span>
|
||||
<span id="L31"><span class="lineNum"> 31</span> : }</span>
|
||||
<span id="L32"><span class="lineNum"> 32</span> <span class="tlaGNC"> 456 : }</span></span>
|
||||
<span id="L33"><span class="lineNum"> 33</span> <span class="tlaGNC"> 24 : std::vector<std::string> SPnDE::graph(const std::string& name) const</span></span>
|
||||
<span id="L34"><span class="lineNum"> 34</span> : {</span>
|
||||
<span id="L35"><span class="lineNum"> 35</span> <span class="tlaGNC"> 24 : return model.graph(name);</span></span>
|
||||
<span id="L36"><span class="lineNum"> 36</span> : }</span>
|
||||
<span id="L37"><span class="lineNum"> 37</span> : </span>
|
||||
<span id="L38"><span class="lineNum"> 38</span> : }</span>
|
||||
</pre>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
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|
||||
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<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPnDE.h<span style="font-size: 80%;"> (<a href="SPnDE.h.gcov.html">source</a> / functions)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
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<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
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<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<table cellpadding=1 cellspacing=1 border=0>
|
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<tr><td><br></td></tr>
|
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<tr>
|
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<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><a href="SPnDE.h.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
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<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPnDE.h.gcov.html#L14">bayesnet::SPnDE::~SPnDE()</a></td>
|
||||
|
||||
<td class="coverFnHi">912</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
</center>
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|
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<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
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<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPnDE.h<span style="font-size: 80%;"> (<a href="SPnDE.h.gcov.html">source</a> / functions)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
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</td>
|
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|
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
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||||
|
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<center>
|
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<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
||||
<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
|
||||
|
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<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><a href="SPnDE.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="SPnDE.h.gcov.html#L14">bayesnet::SPnDE::~SPnDE()</a></td>
|
||||
|
||||
<td class="coverFnHi">912</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
</center>
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
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|
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|
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@ -1,19 +0,0 @@
|
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|
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|
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<body>
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<tr>
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|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - SPnDE.h<span style="font-size: 80%;"> (source / <a href="SPnDE.h.func-c.html">functions</a>)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
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</table>
|
||||
</td>
|
||||
</tr>
|
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|
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
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</table>
|
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|
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<table cellpadding=0 cellspacing=0 border=0>
|
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<tr>
|
||||
<td><br></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>
|
||||
<pre class="sourceHeading"> Line data Source code</pre>
|
||||
<pre class="source">
|
||||
<span id="L1"><span class="lineNum"> 1</span> : // ***************************************************************</span>
|
||||
<span id="L2"><span class="lineNum"> 2</span> : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
|
||||
<span id="L3"><span class="lineNum"> 3</span> : // SPDX-FileType: SOURCE</span>
|
||||
<span id="L4"><span class="lineNum"> 4</span> : // SPDX-License-Identifier: MIT</span>
|
||||
<span id="L5"><span class="lineNum"> 5</span> : // ***************************************************************</span>
|
||||
<span id="L6"><span class="lineNum"> 6</span> : </span>
|
||||
<span id="L7"><span class="lineNum"> 7</span> : #ifndef SPnDE_H</span>
|
||||
<span id="L8"><span class="lineNum"> 8</span> : #define SPnDE_H</span>
|
||||
<span id="L9"><span class="lineNum"> 9</span> : #include <vector></span>
|
||||
<span id="L10"><span class="lineNum"> 10</span> : #include "Classifier.h"</span>
|
||||
<span id="L11"><span class="lineNum"> 11</span> : </span>
|
||||
<span id="L12"><span class="lineNum"> 12</span> : namespace bayesnet {</span>
|
||||
<span id="L13"><span class="lineNum"> 13</span> : class SPnDE : public Classifier {</span>
|
||||
<span id="L14"><span class="lineNum"> 14</span> : public:</span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> : explicit SPnDE(std::vector<int> parents);</span>
|
||||
<span id="L16"><span class="lineNum"> 16</span> <span class="tlaGNC tlaBgGNC"> 912 : virtual ~SPnDE() = default;</span></span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> : std::vector<std::string> graph(const std::string& name = "SPnDE") const override;</span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> : protected:</span>
|
||||
<span id="L19"><span class="lineNum"> 19</span> : void buildModel(const torch::Tensor& weights) override;</span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> : private:</span>
|
||||
<span id="L21"><span class="lineNum"> 21</span> : std::vector<int> parents;</span>
|
||||
<span id="L22"><span class="lineNum"> 22</span> : </span>
|
||||
<span id="L23"><span class="lineNum"> 23</span> : </span>
|
||||
<span id="L24"><span class="lineNum"> 24</span> : };</span>
|
||||
<span id="L25"><span class="lineNum"> 25</span> : }</span>
|
||||
<span id="L26"><span class="lineNum"> 26</span> : #endif</span>
|
||||
</pre>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
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</html>
|
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@ -1,27 +0,0 @@
|
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<html lang="en">
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<a href="SPnDE.h.gcov.html#top" target="source">Top</a><br><br>
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<img src="SPnDE.h.gcov.png" width=80 height=25 alt="Overview" border=0 usemap="#overview">
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</body>
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</html>
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<tr>
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<table cellpadding=1 border=0 width="100%">
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<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - TAN.cc<span style="font-size: 80%;"> (<a href="TAN.cc.gcov.html">source</a> / functions)</span></td>
|
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<td width="5%"></td>
|
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<td width="5%"></td>
|
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<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">23</td>
|
||||
<td class="headerCovTableEntry">23</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">4</td>
|
||||
<td class="headerCovTableEntry">4</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
|
||||
<center>
|
||||
<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
||||
<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><a href="TAN.cc.func.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></a></span></td>
|
||||
|
||||
<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="TAN.cc.gcov.html#L39">bayesnet::TAN::graph(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) const</a></td>
|
||||
|
||||
<td class="coverFnHi">8</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="TAN.cc.gcov.html#L10">bayesnet::TAN::buildModel(at::Tensor const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">52</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="TAN.cc.gcov.html#L8">bayesnet::TAN::TAN()</a></td>
|
||||
|
||||
<td class="coverFnHi">188</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="TAN.cc.gcov.html#L23">auto bayesnet::TAN::buildModel(at::Tensor const&)::{lambda(auto:1 const&, auto:2 const&)#1}::operator()<std::pair<int, float>, std::pair<int, float> >(std::pair<int, float> const&, std::pair<int, float> const&) const</a></td>
|
||||
|
||||
<td class="coverFnHi">648</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
</center>
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
@ -1,111 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
|
||||
|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
||||
<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TAN.cc - functions</title>
|
||||
<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
||||
</head>
|
||||
|
||||
<body>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="title">LCOV - code coverage report</td></tr>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
|
||||
<tr>
|
||||
<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
||||
<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - TAN.cc<span style="font-size: 80%;"> (<a href="TAN.cc.gcov.html">source</a> / functions)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">23</td>
|
||||
<td class="headerCovTableEntry">23</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">4</td>
|
||||
<td class="headerCovTableEntry">4</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
|
||||
<center>
|
||||
<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
||||
<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
|
||||
|
||||
<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><a href="TAN.cc.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="TAN.cc.gcov.html#L23">auto bayesnet::TAN::buildModel(at::Tensor const&)::{lambda(auto:1 const&, auto:2 const&)#1}::operator()<std::pair<int, float>, std::pair<int, float> >(std::pair<int, float> const&, std::pair<int, float> const&) const</a></td>
|
||||
|
||||
<td class="coverFnHi">648</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="TAN.cc.gcov.html#L8">bayesnet::TAN::TAN()</a></td>
|
||||
|
||||
<td class="coverFnHi">188</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="TAN.cc.gcov.html#L10">bayesnet::TAN::buildModel(at::Tensor const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">52</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="TAN.cc.gcov.html#L39">bayesnet::TAN::graph(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) const</a></td>
|
||||
|
||||
<td class="coverFnHi">8</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
</center>
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
@ -1,19 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
|
||||
|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
||||
<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TAN.cc</title>
|
||||
<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
||||
</head>
|
||||
|
||||
<frameset cols="120,*">
|
||||
<frame src="TAN.cc.gcov.overview.html" name="overview">
|
||||
<frame src="TAN.cc.gcov.html" name="source">
|
||||
<noframes>
|
||||
<center>Frames not supported by your browser!<br></center>
|
||||
</noframes>
|
||||
</frameset>
|
||||
|
||||
</html>
|
||||
@ -1,129 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
|
||||
|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
||||
<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TAN.cc</title>
|
||||
<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
||||
</head>
|
||||
|
||||
<body>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="title">LCOV - code coverage report</td></tr>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
|
||||
<tr>
|
||||
<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
||||
<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - TAN.cc<span style="font-size: 80%;"> (source / <a href="TAN.cc.func-c.html">functions</a>)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">23</td>
|
||||
<td class="headerCovTableEntry">23</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">4</td>
|
||||
<td class="headerCovTableEntry">4</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
|
||||
<table cellpadding=0 cellspacing=0 border=0>
|
||||
<tr>
|
||||
<td><br></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>
|
||||
<pre class="sourceHeading"> Line data Source code</pre>
|
||||
<pre class="source">
|
||||
<span id="L1"><span class="lineNum"> 1</span> : // ***************************************************************</span>
|
||||
<span id="L2"><span class="lineNum"> 2</span> : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
|
||||
<span id="L3"><span class="lineNum"> 3</span> : // SPDX-FileType: SOURCE</span>
|
||||
<span id="L4"><span class="lineNum"> 4</span> : // SPDX-License-Identifier: MIT</span>
|
||||
<span id="L5"><span class="lineNum"> 5</span> : // ***************************************************************</span>
|
||||
<span id="L6"><span class="lineNum"> 6</span> : </span>
|
||||
<span id="L7"><span class="lineNum"> 7</span> : #include "TAN.h"</span>
|
||||
<span id="L8"><span class="lineNum"> 8</span> : </span>
|
||||
<span id="L9"><span class="lineNum"> 9</span> : namespace bayesnet {</span>
|
||||
<span id="L10"><span class="lineNum"> 10</span> <span class="tlaGNC tlaBgGNC"> 188 : TAN::TAN() : Classifier(Network()) {}</span></span>
|
||||
<span id="L11"><span class="lineNum"> 11</span> : </span>
|
||||
<span id="L12"><span class="lineNum"> 12</span> <span class="tlaGNC"> 52 : void TAN::buildModel(const torch::Tensor& weights)</span></span>
|
||||
<span id="L13"><span class="lineNum"> 13</span> : {</span>
|
||||
<span id="L14"><span class="lineNum"> 14</span> : // 0. Add all nodes to the model</span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> <span class="tlaGNC"> 52 : addNodes();</span></span>
|
||||
<span id="L16"><span class="lineNum"> 16</span> : // 1. Compute mutual information between each feature and the class and set the root node</span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> : // as the highest mutual information with the class</span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> <span class="tlaGNC"> 52 : auto mi = std::vector <std::pair<int, float >>();</span></span>
|
||||
<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC"> 156 : torch::Tensor class_dataset = dataset.index({ -1, "..." });</span></span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 356 : for (int i = 0; i < static_cast<int>(features.size()); ++i) {</span></span>
|
||||
<span id="L21"><span class="lineNum"> 21</span> <span class="tlaGNC"> 912 : torch::Tensor feature_dataset = dataset.index({ i, "..." });</span></span>
|
||||
<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC"> 304 : auto mi_value = metrics.mutualInformation(class_dataset, feature_dataset, weights);</span></span>
|
||||
<span id="L23"><span class="lineNum"> 23</span> <span class="tlaGNC"> 304 : mi.push_back({ i, mi_value });</span></span>
|
||||
<span id="L24"><span class="lineNum"> 24</span> <span class="tlaGNC"> 304 : }</span></span>
|
||||
<span id="L25"><span class="lineNum"> 25</span> <span class="tlaGNC"> 700 : sort(mi.begin(), mi.end(), [](const auto& left, const auto& right) {return left.second < right.second;});</span></span>
|
||||
<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC"> 52 : auto root = mi[mi.size() - 1].first;</span></span>
|
||||
<span id="L27"><span class="lineNum"> 27</span> : // 2. Compute mutual information between each feature and the class</span>
|
||||
<span id="L28"><span class="lineNum"> 28</span> <span class="tlaGNC"> 52 : auto weights_matrix = metrics.conditionalEdge(weights);</span></span>
|
||||
<span id="L29"><span class="lineNum"> 29</span> : // 3. Compute the maximum spanning tree</span>
|
||||
<span id="L30"><span class="lineNum"> 30</span> <span class="tlaGNC"> 52 : auto mst = metrics.maximumSpanningTree(features, weights_matrix, root);</span></span>
|
||||
<span id="L31"><span class="lineNum"> 31</span> : // 4. Add edges from the maximum spanning tree to the model</span>
|
||||
<span id="L32"><span class="lineNum"> 32</span> <span class="tlaGNC"> 304 : for (auto i = 0; i < mst.size(); ++i) {</span></span>
|
||||
<span id="L33"><span class="lineNum"> 33</span> <span class="tlaGNC"> 252 : auto [from, to] = mst[i];</span></span>
|
||||
<span id="L34"><span class="lineNum"> 34</span> <span class="tlaGNC"> 252 : model.addEdge(features[from], features[to]);</span></span>
|
||||
<span id="L35"><span class="lineNum"> 35</span> : }</span>
|
||||
<span id="L36"><span class="lineNum"> 36</span> : // 5. Add edges from the class to all features</span>
|
||||
<span id="L37"><span class="lineNum"> 37</span> <span class="tlaGNC"> 356 : for (auto feature : features) {</span></span>
|
||||
<span id="L38"><span class="lineNum"> 38</span> <span class="tlaGNC"> 304 : model.addEdge(className, feature);</span></span>
|
||||
<span id="L39"><span class="lineNum"> 39</span> <span class="tlaGNC"> 304 : }</span></span>
|
||||
<span id="L40"><span class="lineNum"> 40</span> <span class="tlaGNC"> 408 : }</span></span>
|
||||
<span id="L41"><span class="lineNum"> 41</span> <span class="tlaGNC"> 8 : std::vector<std::string> TAN::graph(const std::string& title) const</span></span>
|
||||
<span id="L42"><span class="lineNum"> 42</span> : {</span>
|
||||
<span id="L43"><span class="lineNum"> 43</span> <span class="tlaGNC"> 8 : return model.graph(title);</span></span>
|
||||
<span id="L44"><span class="lineNum"> 44</span> : }</span>
|
||||
<span id="L45"><span class="lineNum"> 45</span> : }</span>
|
||||
</pre>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
@ -1,32 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
|
||||
|
||||
<html lang="en">
|
||||
|
||||
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||||
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|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
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||||
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<td class="headerItem">Functions:</td>
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<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
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|
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|
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|
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||||
<td class="coverFn"><a href="TAN.h.gcov.html#L15">bayesnet::TAN::~TAN()</a></td>
|
||||
|
||||
<td class="coverFnHi">76</td>
|
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|
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|
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<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - TAN.h<span style="font-size: 80%;"> (<a href="TAN.h.gcov.html">source</a> / functions)</span></td>
|
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<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
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|
||||
</td>
|
||||
</tr>
|
||||
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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||||
</table>
|
||||
|
||||
<center>
|
||||
<table cellpadding=1 cellspacing=1 border=0>
|
||||
<tr><td><br></td></tr>
|
||||
<tr>
|
||||
<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by function name" title="Click to sort table by function name" border=0></span></td>
|
||||
|
||||
<td class="tableHead">Hit count <span title="Click to sort table by function hit count" class="tableHeadSort"><a href="TAN.h.func-c.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function hit count" title="Click to sort table by function hit count" border=0></a></span></td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="TAN.h.gcov.html#L15">bayesnet::TAN::~TAN()</a></td>
|
||||
|
||||
<td class="coverFnHi">76</td>
|
||||
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
</center>
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
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<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
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|
||||
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|
||||
|
||||
</body>
|
||||
</html>
|
||||
@ -1,19 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Frameset//EN">
|
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|
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|
||||
|
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||||
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|
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<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
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</head>
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<frameset cols="120,*">
|
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<frame src="TAN.h.gcov.overview.html" name="overview">
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|
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<center>Frames not supported by your browser!<br></center>
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@ -1,105 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
|
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||||
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</head>
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||||
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<body>
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||||
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<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
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<tr><td class="title">LCOV - code coverage report</td></tr>
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||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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||||
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||||
<tr>
|
||||
<td width="100%">
|
||||
<table cellpadding=1 border=0 width="100%">
|
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<tr>
|
||||
<td width="10%" class="headerItem">Current view:</td>
|
||||
<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - TAN.h<span style="font-size: 80%;"> (source / <a href="TAN.h.func-c.html">functions</a>)</span></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%"></td>
|
||||
<td width="5%" class="headerCovTableHead">Coverage</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Covered + Uncovered code">Total</td>
|
||||
<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test:</td>
|
||||
<td class="headerValue">BayesNet Coverage Report</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-05-06 17:54:04</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Legend:</td>
|
||||
<td class="headerValueLeg"> Lines:
|
||||
<span class="coverLegendCov">hit</span>
|
||||
<span class="coverLegendNoCov">not hit</span>
|
||||
</td>
|
||||
<td></td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
|
||||
<table cellpadding=0 cellspacing=0 border=0>
|
||||
<tr>
|
||||
<td><br></td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>
|
||||
<pre class="sourceHeading"> Line data Source code</pre>
|
||||
<pre class="source">
|
||||
<span id="L1"><span class="lineNum"> 1</span> : // ***************************************************************</span>
|
||||
<span id="L2"><span class="lineNum"> 2</span> : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez</span>
|
||||
<span id="L3"><span class="lineNum"> 3</span> : // SPDX-FileType: SOURCE</span>
|
||||
<span id="L4"><span class="lineNum"> 4</span> : // SPDX-License-Identifier: MIT</span>
|
||||
<span id="L5"><span class="lineNum"> 5</span> : // ***************************************************************</span>
|
||||
<span id="L6"><span class="lineNum"> 6</span> : </span>
|
||||
<span id="L7"><span class="lineNum"> 7</span> : #ifndef TAN_H</span>
|
||||
<span id="L8"><span class="lineNum"> 8</span> : #define TAN_H</span>
|
||||
<span id="L9"><span class="lineNum"> 9</span> : #include "Classifier.h"</span>
|
||||
<span id="L10"><span class="lineNum"> 10</span> : namespace bayesnet {</span>
|
||||
<span id="L11"><span class="lineNum"> 11</span> : class TAN : public Classifier {</span>
|
||||
<span id="L12"><span class="lineNum"> 12</span> : private:</span>
|
||||
<span id="L13"><span class="lineNum"> 13</span> : protected:</span>
|
||||
<span id="L14"><span class="lineNum"> 14</span> : void buildModel(const torch::Tensor& weights) override;</span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> : public:</span>
|
||||
<span id="L16"><span class="lineNum"> 16</span> : TAN();</span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC tlaBgGNC"> 76 : virtual ~TAN() = default;</span></span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> : std::vector<std::string> graph(const std::string& name = "TAN") const override;</span>
|
||||
<span id="L19"><span class="lineNum"> 19</span> : };</span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> : }</span>
|
||||
<span id="L21"><span class="lineNum"> 21</span> : #endif</span>
|
||||
</pre>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
<br>
|
||||
|
||||
<table width="100%" border=0 cellspacing=0 cellpadding=0>
|
||||
<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
<tr><td class="versionInfo">Generated by: <a href="https://github.com//linux-test-project/lcov" target="_parent">LCOV version 2.0-1</a></td></tr>
|
||||
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|
||||
<br>
|
||||
|
||||
</body>
|
||||
</html>
|
||||
@ -1,26 +0,0 @@
|
||||
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
|
||||
|
||||
<html lang="en">
|
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|
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<head>
|
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/TAN.h</title>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
|
||||
<link rel="stylesheet" type="text/css" href="../../gcov.css">
|
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||||
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<body>
|
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<map name="overview">
|
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<area shape="rect" coords="0,0,79,3" href="TAN.h.gcov.html#L1" target="source" alt="overview">
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<area shape="rect" coords="0,4,79,7" href="TAN.h.gcov.html#L1" target="source" alt="overview">
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<area shape="rect" coords="0,8,79,11" href="TAN.h.gcov.html#L1" target="source" alt="overview">
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<area shape="rect" coords="0,12,79,15" href="TAN.h.gcov.html#L1" target="source" alt="overview">
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<area shape="rect" coords="0,16,79,19" href="TAN.h.gcov.html#L5" target="source" alt="overview">
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</map>
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<center>
|
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<a href="TAN.h.gcov.html#top" target="source">Top</a><br><br>
|
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<img src="TAN.h.gcov.png" width=80 height=20 alt="Overview" border=0 usemap="#overview">
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</center>
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</body>
|
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</html>
|
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