Add link to the coverage report in the README.md coverage label

This commit is contained in:
2024-04-21 16:44:35 +02:00
parent 49bb0582e6
commit c4b563a339
153 changed files with 20583 additions and 14 deletions

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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 - coverage.info - 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">top level</a> - <a href="index.html">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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">126</td>
<td class="headerCovTableEntry">126</td>
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">24</td>
<td class="headerCovTableEntry">24</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#L178">_ZN8bayesnet10Classifier17topological_orderB5cxx11Ev</a></td>
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</tr>
<tr>
<td class="coverFn"><a href="Classifier.cc.gcov.html#L182">_ZNK8bayesnet10Classifier8dump_cptB5cxx11Ev</a></td>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L170">_ZNK8bayesnet10Classifier17getNumberOfStatesEv</a></td>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L166">_ZNK8bayesnet10Classifier16getNumberOfEdgesEv</a></td>
<td class="coverFnHi">40</td>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L161">_ZNK8bayesnet10Classifier16getNumberOfNodesEv</a></td>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L122">_ZN8bayesnet10Classifier13predict_probaERSt6vectorIS1_IiSaIiEESaIS3_EE</a></td>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L174">_ZNK8bayesnet10Classifier17getClassNumStatesEv</a></td>
<td class="coverFnHi">76</td>
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<td class="coverFnHi">77</td>
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<td class="coverFnHi">245</td>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L42">_ZN8bayesnet10Classifier10trainModelERKN2at6TensorE</a></td>
<td class="coverFnHi">251</td>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L153">_ZN8bayesnet10Classifier8addNodesEv</a></td>
<td class="coverFnHi">251</td>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L77">_ZN8bayesnet10Classifier18checkFitParametersEv</a></td>
<td class="coverFnHi">291</td>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L10">_ZN8bayesnet10ClassifierC2ENS_7NetworkE</a></td>
<td class="coverFnHi">413</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>

View File

@@ -0,0 +1,243 @@
<!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 - coverage.info - 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">top level</a> - <a href="index.html">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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">126</td>
<td class="headerCovTableEntry">126</td>
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">24</td>
<td class="headerCovTableEntry">24</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#L42">_ZN8bayesnet10Classifier10trainModelERKN2at6TensorE</a></td>
<td class="coverFnHi">251</td>
</tr>
<tr>
<td class="coverFn"><a href="Classifier.cc.gcov.html#L28">_ZN8bayesnet10Classifier12buildDatasetERN2at6TensorE</a></td>
<td class="coverFnHi">77</td>
</tr>
<tr>
<td class="coverFn"><a href="Classifier.cc.gcov.html#L115">_ZN8bayesnet10Classifier13predict_probaERN2at6TensorE</a></td>
<td class="coverFnHi">306</td>
</tr>
<tr>
<td class="coverFn"><a href="Classifier.cc.gcov.html#L122">_ZN8bayesnet10Classifier13predict_probaERSt6vectorIS1_IiSaIiEESaIS3_EE</a></td>
<td class="coverFnHi">67</td>
</tr>
<tr>
<td class="coverFn"><a href="Classifier.cc.gcov.html#L178">_ZN8bayesnet10Classifier17topological_orderB5cxx11Ev</a></td>
<td class="coverFnHi">1</td>
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<tr>
<td class="coverFn"><a href="Classifier.cc.gcov.html#L77">_ZN8bayesnet10Classifier18checkFitParametersEv</a></td>
<td class="coverFnHi">291</td>
</tr>
<tr>
<td class="coverFn"><a href="Classifier.cc.gcov.html#L186">_ZN8bayesnet10Classifier18setHyperparametersERKN8nlohmann16json_abi_v3_11_310basic_jsonISt3mapSt6vectorNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEblmdSaNS2_14adl_serializerES5_IhSaIhEEvEE</a></td>
<td class="coverFnHi">19</td>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L66">_ZN8bayesnet10Classifier3fitERN2at6TensorERKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISA_EERKSA_RSt3mapISA_S4_IiSaIiEESt4lessISA_ESaISt4pairISF_SJ_EEE</a></td>
<td class="coverFnHi">99</td>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L72">_ZN8bayesnet10Classifier3fitERN2at6TensorERKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISA_EERKSA_RSt3mapISA_S4_IiSaIiEESt4lessISA_ESaISt4pairISF_SJ_EEERKS2_</a></td>
<td class="coverFnHi">136</td>
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<tr>
<td class="coverFn"><a href="Classifier.cc.gcov.html#L47">_ZN8bayesnet10Classifier3fitERN2at6TensorES3_RKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISA_EERKSA_RSt3mapISA_S4_IiSaIiEESt4lessISA_ESaISt4pairISF_SJ_EEE</a></td>
<td class="coverFnHi">28</td>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L55">_ZN8bayesnet10Classifier3fitERSt6vectorIS1_IiSaIiEESaIS3_EERS3_RKS1_INSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISD_EERKSD_RSt3mapISD_S3_St4lessISD_ESaISt4pairISI_S3_EEE</a></td>
<td class="coverFnHi">32</td>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L12">_ZN8bayesnet10Classifier5buildERKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS7_EERKS7_RSt3mapIS7_S1_IiSaIiEESt4lessIS7_ESaISt4pairISC_SG_EEERKN2at6TensorE</a></td>
<td class="coverFnHi">291</td>
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<tr>
<td class="coverFn"><a href="Classifier.cc.gcov.html#L137">_ZN8bayesnet10Classifier5scoreERN2at6TensorES3_</a></td>
<td class="coverFnHi">28</td>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L142">_ZN8bayesnet10Classifier5scoreERSt6vectorIS1_IiSaIiEESaIS3_EERS3_</a></td>
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<tr>
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<td class="coverFnHi">245</td>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L101">_ZN8bayesnet10Classifier7predictERSt6vectorIS1_IiSaIiEESaIS3_EE</a></td>
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<tr>
<td class="coverFn"><a href="Classifier.cc.gcov.html#L153">_ZN8bayesnet10Classifier8addNodesEv</a></td>
<td class="coverFnHi">251</td>
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<tr>
<td class="coverFn"><a href="Classifier.cc.gcov.html#L10">_ZN8bayesnet10ClassifierC2ENS_7NetworkE</a></td>
<td class="coverFnHi">413</td>
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<tr>
<td class="coverFn"><a href="Classifier.cc.gcov.html#L166">_ZNK8bayesnet10Classifier16getNumberOfEdgesEv</a></td>
<td class="coverFnHi">40</td>
</tr>
<tr>
<td class="coverFn"><a href="Classifier.cc.gcov.html#L161">_ZNK8bayesnet10Classifier16getNumberOfNodesEv</a></td>
<td class="coverFnHi">40</td>
</tr>
<tr>
<td class="coverFn"><a href="Classifier.cc.gcov.html#L174">_ZNK8bayesnet10Classifier17getClassNumStatesEv</a></td>
<td class="coverFnHi">76</td>
</tr>
<tr>
<td class="coverFn"><a href="Classifier.cc.gcov.html#L170">_ZNK8bayesnet10Classifier17getNumberOfStatesEv</a></td>
<td class="coverFnHi">6</td>
</tr>
<tr>
<td class="coverFn"><a href="Classifier.cc.gcov.html#L149">_ZNK8bayesnet10Classifier4showB5cxx11Ev</a></td>
<td class="coverFnHi">6</td>
</tr>
<tr>
<td class="coverFn"><a href="Classifier.cc.gcov.html#L182">_ZNK8bayesnet10Classifier8dump_cptB5cxx11Ev</a></td>
<td class="coverFnHi">1</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>

View File

@@ -0,0 +1,270 @@
<!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 - coverage.info - 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">top level</a> - <a href="index.html">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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">126</td>
<td class="headerCovTableEntry">126</td>
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">24</td>
<td class="headerCovTableEntry">24</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 &lt;sstream&gt;</span>
<span id="L8"><span class="lineNum"> 8</span> : #include &quot;bayesnet/utils/bayesnetUtils.h&quot;</span>
<span id="L9"><span class="lineNum"> 9</span> : #include &quot;Classifier.h&quot;</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"> 413 : 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 = &quot;Classifier has not been fitted&quot;;</span>
<span id="L14"><span class="lineNum"> 14</span> <span class="tlaGNC"> 291 : Classifier&amp; Classifier::build(const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, const torch::Tensor&amp; weights)</span></span>
<span id="L15"><span class="lineNum"> 15</span> : {</span>
<span id="L16"><span class="lineNum"> 16</span> <span class="tlaGNC"> 291 : this-&gt;features = features;</span></span>
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC"> 291 : this-&gt;className = className;</span></span>
<span id="L18"><span class="lineNum"> 18</span> <span class="tlaGNC"> 291 : this-&gt;states = states;</span></span>
<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC"> 291 : m = dataset.size(1);</span></span>
<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 291 : n = features.size();</span></span>
<span id="L21"><span class="lineNum"> 21</span> <span class="tlaGNC"> 291 : checkFitParameters();</span></span>
<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC"> 283 : auto n_classes = states.at(className).size();</span></span>
<span id="L23"><span class="lineNum"> 23</span> <span class="tlaGNC"> 283 : metrics = Metrics(dataset, features, className, n_classes);</span></span>
<span id="L24"><span class="lineNum"> 24</span> <span class="tlaGNC"> 283 : model.initialize();</span></span>
<span id="L25"><span class="lineNum"> 25</span> <span class="tlaGNC"> 283 : buildModel(weights);</span></span>
<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC"> 283 : trainModel(weights);</span></span>
<span id="L27"><span class="lineNum"> 27</span> <span class="tlaGNC"> 279 : fitted = true;</span></span>
<span id="L28"><span class="lineNum"> 28</span> <span class="tlaGNC"> 279 : return *this;</span></span>
<span id="L29"><span class="lineNum"> 29</span> : }</span>
<span id="L30"><span class="lineNum"> 30</span> <span class="tlaGNC"> 77 : void Classifier::buildDataset(torch::Tensor&amp; 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"> 77 : 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"> 239 : dataset = torch::cat({ dataset, yresized }, 0);</span></span>
<span id="L35"><span class="lineNum"> 35</span> <span class="tlaGNC"> 77 : }</span></span>
<span id="L36"><span class="lineNum"> 36</span> <span class="tlaGNC"> 4 : catch (const std::exception&amp; e) {</span></span>
<span id="L37"><span class="lineNum"> 37</span> <span class="tlaGNC"> 4 : std::stringstream oss;</span></span>
<span id="L38"><span class="lineNum"> 38</span> <span class="tlaGNC"> 4 : oss &lt;&lt; &quot;* Error in X and y dimensions *\n&quot;;</span></span>
<span id="L39"><span class="lineNum"> 39</span> <span class="tlaGNC"> 4 : oss &lt;&lt; &quot;X dimensions: &quot; &lt;&lt; dataset.sizes() &lt;&lt; &quot;\n&quot;;</span></span>
<span id="L40"><span class="lineNum"> 40</span> <span class="tlaGNC"> 4 : oss &lt;&lt; &quot;y dimensions: &quot; &lt;&lt; ytmp.sizes();</span></span>
<span id="L41"><span class="lineNum"> 41</span> <span class="tlaGNC"> 4 : throw std::runtime_error(oss.str());</span></span>
<span id="L42"><span class="lineNum"> 42</span> <span class="tlaGNC"> 8 : }</span></span>
<span id="L43"><span class="lineNum"> 43</span> <span class="tlaGNC"> 154 : }</span></span>
<span id="L44"><span class="lineNum"> 44</span> <span class="tlaGNC"> 251 : void Classifier::trainModel(const torch::Tensor&amp; weights)</span></span>
<span id="L45"><span class="lineNum"> 45</span> : {</span>
<span id="L46"><span class="lineNum"> 46</span> <span class="tlaGNC"> 251 : model.fit(dataset, weights, features, className, states);</span></span>
<span id="L47"><span class="lineNum"> 47</span> <span class="tlaGNC"> 251 : }</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"> 28 : Classifier&amp; Classifier::fit(torch::Tensor&amp; X, torch::Tensor&amp; y, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states)</span></span>
<span id="L50"><span class="lineNum"> 50</span> : {</span>
<span id="L51"><span class="lineNum"> 51</span> <span class="tlaGNC"> 28 : dataset = X;</span></span>
<span id="L52"><span class="lineNum"> 52</span> <span class="tlaGNC"> 28 : buildDataset(y);</span></span>
<span id="L53"><span class="lineNum"> 53</span> <span class="tlaGNC"> 26 : 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"> 44 : return build(features, className, states, weights);</span></span>
<span id="L55"><span class="lineNum"> 55</span> <span class="tlaGNC"> 26 : }</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"> 32 : Classifier&amp; Classifier::fit(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states)</span></span>
<span id="L58"><span class="lineNum"> 58</span> : {</span>
<span id="L59"><span class="lineNum"> 59</span> <span class="tlaGNC"> 32 : dataset = torch::zeros({ static_cast&lt;int&gt;(X.size()), static_cast&lt;int&gt;(X[0].size()) }, torch::kInt32);</span></span>
<span id="L60"><span class="lineNum"> 60</span> <span class="tlaGNC"> 643 : for (int i = 0; i &lt; X.size(); ++i) {</span></span>
<span id="L61"><span class="lineNum"> 61</span> <span class="tlaGNC"> 2444 : dataset.index_put_({ i, &quot;...&quot; }, 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"> 32 : auto ytmp = torch::tensor(y, torch::kInt32);</span></span>
<span id="L64"><span class="lineNum"> 64</span> <span class="tlaGNC"> 32 : buildDataset(ytmp);</span></span>
<span id="L65"><span class="lineNum"> 65</span> <span class="tlaGNC"> 30 : 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"> 56 : return build(features, className, states, weights);</span></span>
<span id="L67"><span class="lineNum"> 67</span> <span class="tlaGNC"> 647 : }</span></span>
<span id="L68"><span class="lineNum"> 68</span> <span class="tlaGNC"> 99 : Classifier&amp; Classifier::fit(torch::Tensor&amp; dataset, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states)</span></span>
<span id="L69"><span class="lineNum"> 69</span> : {</span>
<span id="L70"><span class="lineNum"> 70</span> <span class="tlaGNC"> 99 : this-&gt;dataset = dataset;</span></span>
<span id="L71"><span class="lineNum"> 71</span> <span class="tlaGNC"> 99 : 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"> 198 : return build(features, className, states, weights);</span></span>
<span id="L73"><span class="lineNum"> 73</span> <span class="tlaGNC"> 99 : }</span></span>
<span id="L74"><span class="lineNum"> 74</span> <span class="tlaGNC"> 136 : Classifier&amp; Classifier::fit(torch::Tensor&amp; dataset, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, const torch::Tensor&amp; weights)</span></span>
<span id="L75"><span class="lineNum"> 75</span> : {</span>
<span id="L76"><span class="lineNum"> 76</span> <span class="tlaGNC"> 136 : this-&gt;dataset = dataset;</span></span>
<span id="L77"><span class="lineNum"> 77</span> <span class="tlaGNC"> 136 : 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"> 291 : 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"> 291 : if (torch::is_floating_point(dataset)) {</span></span>
<span id="L82"><span class="lineNum"> 82</span> <span class="tlaGNC"> 2 : throw std::invalid_argument(&quot;dataset (X, y) must be of type Integer&quot;);</span></span>
<span id="L83"><span class="lineNum"> 83</span> : }</span>
<span id="L84"><span class="lineNum"> 84</span> <span class="tlaGNC"> 289 : if (dataset.size(0) - 1 != features.size()) {</span></span>
<span id="L85"><span class="lineNum"> 85</span> <span class="tlaGNC"> 2 : throw std::invalid_argument(&quot;Classifier: X &quot; + std::to_string(dataset.size(0) - 1) + &quot; and features &quot; + std::to_string(features.size()) + &quot; must have the same number of features&quot;);</span></span>
<span id="L86"><span class="lineNum"> 86</span> : }</span>
<span id="L87"><span class="lineNum"> 87</span> <span class="tlaGNC"> 287 : if (states.find(className) == states.end()) {</span></span>
<span id="L88"><span class="lineNum"> 88</span> <span class="tlaGNC"> 2 : throw std::invalid_argument(&quot;class name not found in states&quot;);</span></span>
<span id="L89"><span class="lineNum"> 89</span> : }</span>
<span id="L90"><span class="lineNum"> 90</span> <span class="tlaGNC"> 9467 : for (auto feature : features) {</span></span>
<span id="L91"><span class="lineNum"> 91</span> <span class="tlaGNC"> 9184 : if (states.find(feature) == states.end()) {</span></span>
<span id="L92"><span class="lineNum"> 92</span> <span class="tlaGNC"> 2 : throw std::invalid_argument(&quot;feature [&quot; + feature + &quot;] not found in states&quot;);</span></span>
<span id="L93"><span class="lineNum"> 93</span> : }</span>
<span id="L94"><span class="lineNum"> 94</span> <span class="tlaGNC"> 9184 : }</span></span>
<span id="L95"><span class="lineNum"> 95</span> <span class="tlaGNC"> 283 : }</span></span>
<span id="L96"><span class="lineNum"> 96</span> <span class="tlaGNC"> 245 : torch::Tensor Classifier::predict(torch::Tensor&amp; X)</span></span>
<span id="L97"><span class="lineNum"> 97</span> : {</span>
<span id="L98"><span class="lineNum"> 98</span> <span class="tlaGNC"> 245 : if (!fitted) {</span></span>
<span id="L99"><span class="lineNum"> 99</span> <span class="tlaGNC"> 4 : 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"> 241 : 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"> 4 : std::vector&lt;int&gt; Classifier::predict(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X)</span></span>
<span id="L104"><span class="lineNum"> 104</span> : {</span>
<span id="L105"><span class="lineNum"> 105</span> <span class="tlaGNC"> 4 : if (!fitted) {</span></span>
<span id="L106"><span class="lineNum"> 106</span> <span class="tlaGNC"> 2 : 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"> 2 : auto m_ = X[0].size();</span></span>
<span id="L109"><span class="lineNum"> 109</span> <span class="tlaGNC"> 2 : auto n_ = X.size();</span></span>
<span id="L110"><span class="lineNum"> 110</span> <span class="tlaGNC"> 2 : std::vector&lt;std::vector&lt;int&gt;&gt; Xd(n_, std::vector&lt;int&gt;(m_, 0));</span></span>
<span id="L111"><span class="lineNum"> 111</span> <span class="tlaGNC"> 10 : for (auto i = 0; i &lt; n_; i++) {</span></span>
<span id="L112"><span class="lineNum"> 112</span> <span class="tlaGNC"> 16 : Xd[i] = std::vector&lt;int&gt;(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"> 2 : auto yp = model.predict(Xd);</span></span>
<span id="L115"><span class="lineNum"> 115</span> <span class="tlaGNC"> 4 : return yp;</span></span>
<span id="L116"><span class="lineNum"> 116</span> <span class="tlaGNC"> 2 : }</span></span>
<span id="L117"><span class="lineNum"> 117</span> <span class="tlaGNC"> 306 : torch::Tensor Classifier::predict_proba(torch::Tensor&amp; X)</span></span>
<span id="L118"><span class="lineNum"> 118</span> : {</span>
<span id="L119"><span class="lineNum"> 119</span> <span class="tlaGNC"> 306 : if (!fitted) {</span></span>
<span id="L120"><span class="lineNum"> 120</span> <span class="tlaGNC"> 2 : 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"> 304 : 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"> 67 : std::vector&lt;std::vector&lt;double&gt;&gt; Classifier::predict_proba(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X)</span></span>
<span id="L125"><span class="lineNum"> 125</span> : {</span>
<span id="L126"><span class="lineNum"> 126</span> <span class="tlaGNC"> 67 : if (!fitted) {</span></span>
<span id="L127"><span class="lineNum"> 127</span> <span class="tlaGNC"> 2 : 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"> 65 : auto m_ = X[0].size();</span></span>
<span id="L130"><span class="lineNum"> 130</span> <span class="tlaGNC"> 65 : auto n_ = X.size();</span></span>
<span id="L131"><span class="lineNum"> 131</span> <span class="tlaGNC"> 65 : std::vector&lt;std::vector&lt;int&gt;&gt; Xd(n_, std::vector&lt;int&gt;(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"> 974 : for (auto i = 0; i &lt; n_; i++) {</span></span>
<span id="L134"><span class="lineNum"> 134</span> <span class="tlaGNC"> 1818 : Xd[i] = std::vector&lt;int&gt;(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"> 65 : auto yp = model.predict_proba(Xd);</span></span>
<span id="L137"><span class="lineNum"> 137</span> <span class="tlaGNC"> 130 : return yp;</span></span>
<span id="L138"><span class="lineNum"> 138</span> <span class="tlaGNC"> 65 : }</span></span>
<span id="L139"><span class="lineNum"> 139</span> <span class="tlaGNC"> 28 : float Classifier::score(torch::Tensor&amp; X, torch::Tensor&amp; y)</span></span>
<span id="L140"><span class="lineNum"> 140</span> : {</span>
<span id="L141"><span class="lineNum"> 141</span> <span class="tlaGNC"> 28 : torch::Tensor y_pred = predict(X);</span></span>
<span id="L142"><span class="lineNum"> 142</span> <span class="tlaGNC"> 52 : return (y_pred == y).sum().item&lt;float&gt;() / y.size(0);</span></span>
<span id="L143"><span class="lineNum"> 143</span> <span class="tlaGNC"> 26 : }</span></span>
<span id="L144"><span class="lineNum"> 144</span> <span class="tlaGNC"> 4 : float Classifier::score(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y)</span></span>
<span id="L145"><span class="lineNum"> 145</span> : {</span>
<span id="L146"><span class="lineNum"> 146</span> <span class="tlaGNC"> 4 : if (!fitted) {</span></span>
<span id="L147"><span class="lineNum"> 147</span> <span class="tlaGNC"> 2 : 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"> 2 : 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"> 6 : std::vector&lt;std::string&gt; 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"> 6 : 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"> 251 : 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"> 8799 : for (const auto&amp; feature : features) {</span></span>
<span id="L159"><span class="lineNum"> 159</span> <span class="tlaGNC"> 8548 : 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"> 251 : model.addNode(className);</span></span>
<span id="L162"><span class="lineNum"> 162</span> <span class="tlaGNC"> 251 : }</span></span>
<span id="L163"><span class="lineNum"> 163</span> <span class="tlaGNC"> 40 : 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"> 40 : 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"> 40 : 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"> 40 : 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"> 6 : 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"> 6 : 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"> 76 : 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"> 76 : 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"> 1 : std::vector&lt;std::string&gt; 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"> 1 : 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"> 1 : 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"> 1 : 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"> 19 : void Classifier::setHyperparameters(const nlohmann::json&amp; hyperparameters)</span></span>
<span id="L189"><span class="lineNum"> 189</span> : {</span>
<span id="L190"><span class="lineNum"> 190</span> <span class="tlaGNC"> 19 : if (!hyperparameters.empty()) {</span></span>
<span id="L191"><span class="lineNum"> 191</span> <span class="tlaGNC"> 2 : throw std::invalid_argument(&quot;Invalid hyperparameters&quot; + hyperparameters.dump());</span></span>
<span id="L192"><span class="lineNum"> 192</span> : }</span>
<span id="L193"><span class="lineNum"> 193</span> <span class="tlaGNC"> 17 : }</span></span>
<span id="L194"><span class="lineNum"> 194</span> : }</span>
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<td width="5%" class="headerCovTableHead">Coverage</td>
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<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
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<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">4</td>
<td class="headerCovTableEntry">4</td>
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<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryMed">80.0&nbsp;%</td>
<td class="headerCovTableEntry">5</td>
<td class="headerCovTableEntry">4</td>
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<td class="coverFn"><a href="Classifier.h.gcov.html#L31">_ZN8bayesnet10Classifier10getVersionB5cxx11Ev</a></td>
<td class="coverFnHi">8</td>
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<td class="coverFn"><a href="Classifier.h.gcov.html#L36">_ZNK8bayesnet10Classifier8getNotesB5cxx11Ev</a></td>
<td class="coverFnHi">20</td>
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<td class="coverFn"><a href="Classifier.h.gcov.html#L30">_ZNK8bayesnet10Classifier9getStatusEv</a></td>
<td class="coverFnHi">32</td>
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<td class="coverFn"><a href="Classifier.h.gcov.html#L16">_ZN8bayesnet10ClassifierD0Ev</a></td>
<td class="coverFnHi">273</td>
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<td class="coverFnAlias"><a href="Classifier.h.gcov.html#L16">_ZN8bayesnet10ClassifierD0Ev</a></td>
<td class="coverFnAliasLo">0</td>
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<td class="coverFnAlias"><a href="Classifier.h.gcov.html#L16">_ZN8bayesnet10ClassifierD2Ev</a></td>
<td class="coverFnAliasHi">273</td>
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<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
</tr>
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<td class="headerItem">Test:</td>
<td class="headerValue">coverage.info</td>
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<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">4</td>
<td class="headerCovTableEntry">4</td>
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<td class="headerValue">2024-04-21 16:43:29</td>
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<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryMed">80.0&nbsp;%</td>
<td class="headerCovTableEntry">5</td>
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<td class="coverFn"><a href="Classifier.h.gcov.html#L31">_ZN8bayesnet10Classifier10getVersionB5cxx11Ev</a></td>
<td class="coverFnHi">8</td>
</tr>
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<td class="coverFn"><a href="Classifier.h.gcov.html#L16">_ZN8bayesnet10ClassifierD0Ev</a></td>
<td class="coverFnHi">273</td>
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<td class="coverFnAlias"><a href="Classifier.h.gcov.html#L16">_ZN8bayesnet10ClassifierD0Ev</a></td>
<td class="coverFnAliasLo">0</td>
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<td class="coverFnAlias"><a href="Classifier.h.gcov.html#L16">_ZN8bayesnet10ClassifierD2Ev</a></td>
<td class="coverFnAliasHi">273</td>
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<td class="coverFn"><a href="Classifier.h.gcov.html#L36">_ZNK8bayesnet10Classifier8getNotesB5cxx11Ev</a></td>
<td class="coverFnHi">20</td>
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<td class="coverFn"><a href="Classifier.h.gcov.html#L30">_ZNK8bayesnet10Classifier9getStatusEv</a></td>
<td class="coverFnHi">32</td>
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<title>LCOV - coverage.info - bayesnet/classifiers/Classifier.h</title>
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<td width="10%" class="headerValue"><a href="../../index.html">top level</a> - <a href="index.html">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%" 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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">4</td>
<td class="headerCovTableEntry">4</td>
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryMed">80.0&nbsp;%</td>
<td class="headerCovTableEntry">5</td>
<td class="headerCovTableEntry">4</td>
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<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 &lt;torch/torch.h&gt;</span>
<span id="L10"><span class="lineNum"> 10</span> : #include &quot;bayesnet/utils/BayesMetrics.h&quot;</span>
<span id="L11"><span class="lineNum"> 11</span> : #include &quot;bayesnet/network/Network.h&quot;</span>
<span id="L12"><span class="lineNum"> 12</span> : #include &quot;bayesnet/BaseClassifier.h&quot;</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"> 273 : virtual ~Classifier() = default;</span></span>
<span id="L19"><span class="lineNum"> 19</span> : Classifier&amp; fit(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) override;</span>
<span id="L20"><span class="lineNum"> 20</span> : Classifier&amp; fit(torch::Tensor&amp; X, torch::Tensor&amp; y, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) override;</span>
<span id="L21"><span class="lineNum"> 21</span> : Classifier&amp; fit(torch::Tensor&amp; dataset, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) override;</span>
<span id="L22"><span class="lineNum"> 22</span> : Classifier&amp; fit(torch::Tensor&amp; dataset, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, const torch::Tensor&amp; 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&amp; X) override;</span>
<span id="L29"><span class="lineNum"> 29</span> : std::vector&lt;int&gt; predict(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X) override;</span>
<span id="L30"><span class="lineNum"> 30</span> : torch::Tensor predict_proba(torch::Tensor&amp; X) override;</span>
<span id="L31"><span class="lineNum"> 31</span> : std::vector&lt;std::vector&lt;double&gt;&gt; predict_proba(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X) override;</span>
<span id="L32"><span class="lineNum"> 32</span> <span class="tlaGNC"> 32 : status_t getStatus() const override { return status; }</span></span>
<span id="L33"><span class="lineNum"> 33</span> <span class="tlaGNC"> 24 : 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&amp; X, torch::Tensor&amp; y) override;</span>
<span id="L35"><span class="lineNum"> 35</span> : float score(std::vector&lt;std::vector&lt;int&gt;&gt;&amp; X, std::vector&lt;int&gt;&amp; y) override;</span>
<span id="L36"><span class="lineNum"> 36</span> : std::vector&lt;std::string&gt; show() const override;</span>
<span id="L37"><span class="lineNum"> 37</span> : std::vector&lt;std::string&gt; topological_order() override;</span>
<span id="L38"><span class="lineNum"> 38</span> <span class="tlaGNC"> 20 : std::vector&lt;std::string&gt; 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&amp; 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&lt;std::string&gt; features;</span>
<span id="L47"><span class="lineNum"> 47</span> : std::string className;</span>
<span id="L48"><span class="lineNum"> 48</span> : std::map&lt;std::string, std::vector&lt;int&gt;&gt; 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&lt;std::string&gt; 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&amp; weights) = 0;</span>
<span id="L54"><span class="lineNum"> 54</span> : void trainModel(const torch::Tensor&amp; weights) override;</span>
<span id="L55"><span class="lineNum"> 55</span> : void buildDataset(torch::Tensor&amp; y);</span>
<span id="L56"><span class="lineNum"> 56</span> : private:</span>
<span id="L57"><span class="lineNum"> 57</span> : Classifier&amp; build(const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, std::map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states, const torch::Tensor&amp; 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>
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<td width="10%" class="headerValue"><a href="../../index.html">top level</a> - <a href="index.html">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>
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<td class="headerItem">Test:</td>
<td class="headerValue">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">96.3&nbsp;%</td>
<td class="headerCovTableEntry">54</td>
<td class="headerCovTableEntry">52</td>
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">5</td>
<td class="headerCovTableEntry">5</td>
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<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<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>
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<td class="coverFn"><a href="KDB.cc.gcov.html#L101">_ZNK8bayesnet3KDB5graphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE</a></td>
<td class="coverFnHi">2</td>
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<td class="coverFn"><a href="KDB.cc.gcov.html#L13">_ZN8bayesnet3KDB18setHyperparametersERKN8nlohmann16json_abi_v3_11_310basic_jsonISt3mapSt6vectorNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEblmdSaNS2_14adl_serializerES5_IhSaIhEEvEE</a></td>
<td class="coverFnHi">3</td>
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<td class="coverFn"><a href="KDB.cc.gcov.html#L26">_ZN8bayesnet3KDB10buildModelERKN2at6TensorE</a></td>
<td class="coverFnHi">13</td>
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<td class="coverFn"><a href="KDB.cc.gcov.html#L8">_ZN8bayesnet3KDBC2Eif</a></td>
<td class="coverFnHi">37</td>
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<td class="coverFn"><a href="KDB.cc.gcov.html#L77">_ZN8bayesnet3KDB11add_m_edgesEiRSt6vectorIiSaIiEERN2at6TensorE</a></td>
<td class="coverFnHi">86</td>
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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>
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<td class="headerValue">coverage.info</td>
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<td class="headerCovTableEntryHi">96.3&nbsp;%</td>
<td class="headerCovTableEntry">54</td>
<td class="headerCovTableEntry">52</td>
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<td class="headerValue">2024-04-21 16:43:29</td>
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<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">5</td>
<td class="headerCovTableEntry">5</td>
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<td class="coverFn"><a href="KDB.cc.gcov.html#L26">_ZN8bayesnet3KDB10buildModelERKN2at6TensorE</a></td>
<td class="coverFnHi">13</td>
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<td class="coverFn"><a href="KDB.cc.gcov.html#L13">_ZN8bayesnet3KDB18setHyperparametersERKN8nlohmann16json_abi_v3_11_310basic_jsonISt3mapSt6vectorNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEblmdSaNS2_14adl_serializerES5_IhSaIhEEvEE</a></td>
<td class="coverFnHi">3</td>
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<td class="coverFn"><a href="KDB.cc.gcov.html#L8">_ZN8bayesnet3KDBC2Eif</a></td>
<td class="coverFnHi">37</td>
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<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
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<td class="headerItem">Test:</td>
<td class="headerValue">coverage.info</td>
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<td class="headerCovTableEntry">54</td>
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<td class="headerValue">2024-04-21 16:43:29</td>
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<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">5</td>
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<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 &quot;KDB.h&quot;</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"> 37 : 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"> 111 : validHyperparameters = { &quot;k&quot;, &quot;theta&quot; };</span></span>
<span id="L13"><span class="lineNum"> 13</span> : </span>
<span id="L14"><span class="lineNum"> 14</span> <span class="tlaGNC"> 111 : }</span></span>
<span id="L15"><span class="lineNum"> 15</span> <span class="tlaGNC"> 3 : void KDB::setHyperparameters(const nlohmann::json&amp; hyperparameters_)</span></span>
<span id="L16"><span class="lineNum"> 16</span> : {</span>
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC"> 3 : auto hyperparameters = hyperparameters_;</span></span>
<span id="L18"><span class="lineNum"> 18</span> <span class="tlaGNC"> 3 : if (hyperparameters.contains(&quot;k&quot;)) {</span></span>
<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC"> 1 : k = hyperparameters[&quot;k&quot;];</span></span>
<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 1 : hyperparameters.erase(&quot;k&quot;);</span></span>
<span id="L21"><span class="lineNum"> 21</span> : }</span>
<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC"> 3 : if (hyperparameters.contains(&quot;theta&quot;)) {</span></span>
<span id="L23"><span class="lineNum"> 23</span> <span class="tlaGNC"> 1 : theta = hyperparameters[&quot;theta&quot;];</span></span>
<span id="L24"><span class="lineNum"> 24</span> <span class="tlaGNC"> 1 : hyperparameters.erase(&quot;theta&quot;);</span></span>
<span id="L25"><span class="lineNum"> 25</span> : }</span>
<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC"> 3 : Classifier::setHyperparameters(hyperparameters);</span></span>
<span id="L27"><span class="lineNum"> 27</span> <span class="tlaGNC"> 3 : }</span></span>
<span id="L28"><span class="lineNum"> 28</span> <span class="tlaGNC"> 13 : void KDB::buildModel(const torch::Tensor&amp; 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"> 13 : addNodes();</span></span>
<span id="L52"><span class="lineNum"> 52</span> <span class="tlaGNC"> 39 : const torch::Tensor&amp; y = dataset.index({ -1, &quot;...&quot; });</span></span>
<span id="L53"><span class="lineNum"> 53</span> <span class="tlaGNC"> 13 : std::vector&lt;double&gt; mi;</span></span>
<span id="L54"><span class="lineNum"> 54</span> <span class="tlaGNC"> 99 : for (auto i = 0; i &lt; features.size(); i++) {</span></span>
<span id="L55"><span class="lineNum"> 55</span> <span class="tlaGNC"> 258 : torch::Tensor firstFeature = dataset.index({ i, &quot;...&quot; });</span></span>
<span id="L56"><span class="lineNum"> 56</span> <span class="tlaGNC"> 86 : mi.push_back(metrics.mutualInformation(firstFeature, y, weights));</span></span>
<span id="L57"><span class="lineNum"> 57</span> <span class="tlaGNC"> 86 : }</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"> 13 : 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"> 13 : std::vector&lt;int&gt; 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"> 13 : auto order = argsort(mi);</span></span>
<span id="L68"><span class="lineNum"> 68</span> <span class="tlaGNC"> 99 : 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"> 86 : 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"> 86 : 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"> 86 : 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"> 112 : }</span></span>
<span id="L79"><span class="lineNum"> 79</span> <span class="tlaGNC"> 86 : void KDB::add_m_edges(int idx, std::vector&lt;int&gt;&amp; S, torch::Tensor&amp; weights)</span></span>
<span id="L80"><span class="lineNum"> 80</span> : {</span>
<span id="L81"><span class="lineNum"> 81</span> <span class="tlaGNC"> 86 : auto n_edges = std::min(k, static_cast&lt;int&gt;(S.size()));</span></span>
<span id="L82"><span class="lineNum"> 82</span> <span class="tlaGNC"> 86 : auto cond_w = clone(weights);</span></span>
<span id="L83"><span class="lineNum"> 83</span> <span class="tlaGNC"> 86 : bool exit_cond = k == 0;</span></span>
<span id="L84"><span class="lineNum"> 84</span> <span class="tlaGNC"> 86 : int num = 0;</span></span>
<span id="L85"><span class="lineNum"> 85</span> <span class="tlaGNC"> 251 : while (!exit_cond) {</span></span>
<span id="L86"><span class="lineNum"> 86</span> <span class="tlaGNC"> 660 : auto max_minfo = argmax(cond_w.index({ idx, &quot;...&quot; })).item&lt;int&gt;();</span></span>
<span id="L87"><span class="lineNum"> 87</span> <span class="tlaGNC"> 165 : auto belongs = find(S.begin(), S.end(), max_minfo) != S.end();</span></span>
<span id="L88"><span class="lineNum"> 88</span> <span class="tlaGNC"> 441 : if (belongs &amp;&amp; cond_w.index({ idx, max_minfo }).item&lt;float&gt;() &gt; theta) {</span></span>
<span id="L89"><span class="lineNum"> 89</span> : try {</span>
<span id="L90"><span class="lineNum"> 90</span> <span class="tlaGNC"> 80 : model.addEdge(features[max_minfo], features[idx]);</span></span>
<span id="L91"><span class="lineNum"> 91</span> <span class="tlaGNC"> 80 : 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&amp; 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"> 660 : cond_w.index_put_({ idx, max_minfo }, -1);</span></span>
<span id="L98"><span class="lineNum"> 98</span> <span class="tlaGNC"> 495 : auto candidates_mask = cond_w.index({ idx, &quot;...&quot; }).gt(theta);</span></span>
<span id="L99"><span class="lineNum"> 99</span> <span class="tlaGNC"> 165 : auto candidates = candidates_mask.nonzero();</span></span>
<span id="L100"><span class="lineNum"> 100</span> <span class="tlaGNC"> 165 : exit_cond = num == n_edges || candidates.size(0) == 0;</span></span>
<span id="L101"><span class="lineNum"> 101</span> <span class="tlaGNC"> 165 : }</span></span>
<span id="L102"><span class="lineNum"> 102</span> <span class="tlaGNC"> 673 : }</span></span>
<span id="L103"><span class="lineNum"> 103</span> <span class="tlaGNC"> 2 : std::vector&lt;std::string&gt; KDB::graph(const std::string&amp; title) const</span></span>
<span id="L104"><span class="lineNum"> 104</span> : {</span>
<span id="L105"><span class="lineNum"> 105</span> <span class="tlaGNC"> 2 : std::string header{ title };</span></span>
<span id="L106"><span class="lineNum"> 106</span> <span class="tlaGNC"> 2 : if (title == &quot;KDB&quot;) {</span></span>
<span id="L107"><span class="lineNum"> 107</span> <span class="tlaGNC"> 2 : header += &quot; (k=&quot; + std::to_string(k) + &quot;, theta=&quot; + std::to_string(theta) + &quot;)&quot;;</span></span>
<span id="L108"><span class="lineNum"> 108</span> : }</span>
<span id="L109"><span class="lineNum"> 109</span> <span class="tlaGNC"> 4 : return model.graph(header);</span></span>
<span id="L110"><span class="lineNum"> 110</span> <span class="tlaGNC"> 2 : }</span></span>
<span id="L111"><span class="lineNum"> 111</span> : }</span>
</pre>
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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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">1</td>
<td class="headerCovTableEntry">1</td>
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">2</td>
<td class="headerCovTableEntry">2</td>
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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="coverFn"><a href="KDB.h.gcov.html#L20">_ZN8bayesnet3KDBD0Ev</a></td>
<td class="coverFnHi">11</td>
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<td class="coverFnAlias"><a href="KDB.h.gcov.html#L20">_ZN8bayesnet3KDBD0Ev</a></td>
<td class="coverFnAliasHi">2</td>
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<td class="coverFnAlias"><a href="KDB.h.gcov.html#L20">_ZN8bayesnet3KDBD2Ev</a></td>
<td class="coverFnAliasHi">9</td>
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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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">1</td>
<td class="headerCovTableEntry">1</td>
</tr>
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<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">2</td>
<td class="headerCovTableEntry">2</td>
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<td class="coverFn"><a href="KDB.h.gcov.html#L20">_ZN8bayesnet3KDBD0Ev</a></td>
<td class="coverFnHi">11</td>
</tr>
<tr>
<td class="coverFnAlias"><a href="KDB.h.gcov.html#L20">_ZN8bayesnet3KDBD0Ev</a></td>
<td class="coverFnAliasHi">2</td>
</tr>
<tr>
<td class="coverFnAlias"><a href="KDB.h.gcov.html#L20">_ZN8bayesnet3KDBD2Ev</a></td>
<td class="coverFnAliasHi">9</td>
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<title>LCOV - coverage.info - bayesnet/classifiers/KDB.h</title>
<link rel="stylesheet" type="text/css" href="../../gcov.css">
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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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">1</td>
<td class="headerCovTableEntry">1</td>
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">2</td>
<td class="headerCovTableEntry">2</td>
</tr>
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<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 &lt;torch/torch.h&gt;</span>
<span id="L10"><span class="lineNum"> 10</span> : #include &quot;bayesnet/utils/bayesnetUtils.h&quot;</span>
<span id="L11"><span class="lineNum"> 11</span> : #include &quot;Classifier.h&quot;</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&lt;int&gt;&amp; S, torch::Tensor&amp; 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&amp; 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"> 11 : virtual ~KDB() = default;</span></span>
<span id="L23"><span class="lineNum"> 23</span> : void setHyperparameters(const nlohmann::json&amp; hyperparameters_) override;</span>
<span id="L24"><span class="lineNum"> 24</span> : std::vector&lt;std::string&gt; graph(const std::string&amp; name = &quot;KDB&quot;) 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>
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<td width="10%" class="headerItem">Current view:</td>
<td width="10%" class="headerValue"><a href="../../index.html">top level</a> - <a href="index.html">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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">17</td>
<td class="headerCovTableEntry">17</td>
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">4</td>
<td class="headerCovTableEntry">4</td>
</tr>
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<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>
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<td class="coverFn"><a href="KDBLd.cc.gcov.html#L29">_ZNK8bayesnet5KDBLd5graphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE</a></td>
<td class="coverFnHi">1</td>
</tr>
<tr>
<td class="coverFn"><a href="KDBLd.cc.gcov.html#L24">_ZN8bayesnet5KDBLd7predictERN2at6TensorE</a></td>
<td class="coverFnHi">4</td>
</tr>
<tr>
<td class="coverFn"><a href="KDBLd.cc.gcov.html#L9">_ZN8bayesnet5KDBLd3fitERN2at6TensorES3_RKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISA_EERKSA_RSt3mapISA_S4_IiSaIiEESt4lessISA_ESaISt4pairISF_SJ_EEE</a></td>
<td class="coverFnHi">5</td>
</tr>
<tr>
<td class="coverFn"><a href="KDBLd.cc.gcov.html#L8">_ZN8bayesnet5KDBLdC2Ei</a></td>
<td class="coverFnHi">17</td>
</tr>
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<td width="10%" class="headerItem">Current view:</td>
<td width="10%" class="headerValue"><a href="../../index.html">top level</a> - <a href="index.html">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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">17</td>
<td class="headerCovTableEntry">17</td>
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">4</td>
<td class="headerCovTableEntry">4</td>
</tr>
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
</table>
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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="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>
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<td class="coverFn"><a href="KDBLd.cc.gcov.html#L9">_ZN8bayesnet5KDBLd3fitERN2at6TensorES3_RKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISA_EERKSA_RSt3mapISA_S4_IiSaIiEESt4lessISA_ESaISt4pairISF_SJ_EEE</a></td>
<td class="coverFnHi">5</td>
</tr>
<tr>
<td class="coverFn"><a href="KDBLd.cc.gcov.html#L24">_ZN8bayesnet5KDBLd7predictERN2at6TensorE</a></td>
<td class="coverFnHi">4</td>
</tr>
<tr>
<td class="coverFn"><a href="KDBLd.cc.gcov.html#L8">_ZN8bayesnet5KDBLdC2Ei</a></td>
<td class="coverFnHi">17</td>
</tr>
<tr>
<td class="coverFn"><a href="KDBLd.cc.gcov.html#L29">_ZNK8bayesnet5KDBLd5graphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE</a></td>
<td class="coverFnHi">1</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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">17</td>
<td class="headerCovTableEntry">17</td>
</tr>
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<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">4</td>
<td class="headerCovTableEntry">4</td>
</tr>
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<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 &quot;KDBLd.h&quot;</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"> 17 : KDBLd::KDBLd(int k) : KDB(k), Proposal(dataset, features, className) {}</span></span>
<span id="L11"><span class="lineNum"> 11</span> <span class="tlaGNC"> 5 : KDBLd&amp; KDBLd::fit(torch::Tensor&amp; X_, torch::Tensor&amp; y_, const std::vector&lt;std::string&gt;&amp; features_, const std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_)</span></span>
<span id="L12"><span class="lineNum"> 12</span> : {</span>
<span id="L13"><span class="lineNum"> 13</span> <span class="tlaGNC"> 5 : checkInput(X_, y_);</span></span>
<span id="L14"><span class="lineNum"> 14</span> <span class="tlaGNC"> 5 : features = features_;</span></span>
<span id="L15"><span class="lineNum"> 15</span> <span class="tlaGNC"> 5 : className = className_;</span></span>
<span id="L16"><span class="lineNum"> 16</span> <span class="tlaGNC"> 5 : Xf = X_;</span></span>
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC"> 5 : y = y_;</span></span>
<span id="L18"><span class="lineNum"> 18</span> : // Fills std::vectors Xv &amp; yv with the data from tensors X_ (discretized) &amp; y</span>
<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC"> 5 : 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"> 5 : KDB::fit(dataset, features, className, states);</span></span>
<span id="L23"><span class="lineNum"> 23</span> <span class="tlaGNC"> 5 : states = localDiscretizationProposal(states, model);</span></span>
<span id="L24"><span class="lineNum"> 24</span> <span class="tlaGNC"> 5 : return *this;</span></span>
<span id="L25"><span class="lineNum"> 25</span> : }</span>
<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC"> 4 : torch::Tensor KDBLd::predict(torch::Tensor&amp; X)</span></span>
<span id="L27"><span class="lineNum"> 27</span> : {</span>
<span id="L28"><span class="lineNum"> 28</span> <span class="tlaGNC"> 4 : auto Xt = prepareX(X);</span></span>
<span id="L29"><span class="lineNum"> 29</span> <span class="tlaGNC"> 8 : return KDB::predict(Xt);</span></span>
<span id="L30"><span class="lineNum"> 30</span> <span class="tlaGNC"> 4 : }</span></span>
<span id="L31"><span class="lineNum"> 31</span> <span class="tlaGNC"> 1 : std::vector&lt;std::string&gt; KDBLd::graph(const std::string&amp; name) const</span></span>
<span id="L32"><span class="lineNum"> 32</span> : {</span>
<span id="L33"><span class="lineNum"> 33</span> <span class="tlaGNC"> 1 : 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>
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<title>LCOV - coverage.info - bayesnet/classifiers/KDBLd.h - functions</title>
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<td width="10%" class="headerItem">Current view:</td>
<td width="10%" class="headerValue"><a href="../../index.html">top level</a> - <a href="index.html">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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">1</td>
<td class="headerCovTableEntry">1</td>
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">2</td>
<td class="headerCovTableEntry">2</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.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">_ZN8bayesnet5KDBLdD0Ev</a></td>
<td class="coverFnHi">5</td>
</tr>
<tr>
<td class="coverFnAlias"><a href="KDBLd.h.gcov.html#L15">_ZN8bayesnet5KDBLdD0Ev</a></td>
<td class="coverFnAliasHi">2</td>
</tr>
<tr>
<td class="coverFnAlias"><a href="KDBLd.h.gcov.html#L15">_ZN8bayesnet5KDBLdD2Ev</a></td>
<td class="coverFnAliasHi">3</td>
</tr>
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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">
<title>LCOV - coverage.info - bayesnet/classifiers/KDBLd.h - functions</title>
<link rel="stylesheet" type="text/css" href="../../gcov.css">
</head>
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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>
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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">top level</a> - <a href="index.html">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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">1</td>
<td class="headerCovTableEntry">1</td>
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">2</td>
<td class="headerCovTableEntry">2</td>
</tr>
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
</table>
</td>
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<tr><td class="ruler"><img src="../../glass.png" width=3 height=3 alt=""></td></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="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">_ZN8bayesnet5KDBLdD0Ev</a></td>
<td class="coverFnHi">5</td>
</tr>
<tr>
<td class="coverFnAlias"><a href="KDBLd.h.gcov.html#L15">_ZN8bayesnet5KDBLdD0Ev</a></td>
<td class="coverFnAliasHi">2</td>
</tr>
<tr>
<td class="coverFnAlias"><a href="KDBLd.h.gcov.html#L15">_ZN8bayesnet5KDBLdD2Ev</a></td>
<td class="coverFnAliasHi">3</td>
</tr>
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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">
<title>LCOV - coverage.info - bayesnet/classifiers/KDBLd.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">top level</a> - <a href="index.html">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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">1</td>
<td class="headerCovTableEntry">1</td>
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">2</td>
<td class="headerCovTableEntry">2</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>
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<td><br></td>
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<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 &quot;Proposal.h&quot;</span>
<span id="L10"><span class="lineNum"> 10</span> : #include &quot;KDB.h&quot;</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"> 5 : virtual ~KDBLd() = default;</span></span>
<span id="L18"><span class="lineNum"> 18</span> : KDBLd&amp; fit(torch::Tensor&amp; X, torch::Tensor&amp; y, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) override;</span>
<span id="L19"><span class="lineNum"> 19</span> : std::vector&lt;std::string&gt; graph(const std::string&amp; name = &quot;KDB&quot;) const override;</span>
<span id="L20"><span class="lineNum"> 20</span> : torch::Tensor predict(torch::Tensor&amp; X) override;</span>
<span id="L21"><span class="lineNum"> 21</span> : static inline std::string version() { return &quot;0.0.1&quot;; };</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>
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>LCOV - coverage.info - 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">top level</a> - <a href="index.html">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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">97.7&nbsp;%</td>
<td class="headerCovTableEntry">86</td>
<td class="headerCovTableEntry">84</td>
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryMed">88.9&nbsp;%</td>
<td class="headerCovTableEntry">9</td>
<td class="headerCovTableEntry">8</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>
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<tr>
<td class="coverFn"><a href="Proposal.cc.gcov.html#L104">_ZN8bayesnet8Proposal8prepareXERN2at6TensorE</a></td>
<td class="coverFnHi">42</td>
</tr>
<tr>
<td class="coverFn"><a href="Proposal.cc.gcov.html#L10">_ZN8bayesnet8ProposalD0Ev</a></td>
<td class="coverFnHi">50</td>
</tr>
<tr>
<td class="coverFnAlias"><a href="Proposal.cc.gcov.html#L10">_ZN8bayesnet8ProposalD0Ev</a></td>
<td class="coverFnAliasLo">0</td>
</tr>
<tr>
<td class="coverFnAlias"><a href="Proposal.cc.gcov.html#L10">_ZN8bayesnet8ProposalD2Ev</a></td>
<td class="coverFnAliasHi">50</td>
</tr>
<tr>
<td class="coverFn"><a href="Proposal.cc.gcov.html#L25">_ZN8bayesnet8Proposal27localDiscretizationProposalERKSt3mapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt6vectorIiSaIiEESt4lessIS7_ESaISt4pairIKS7_SA_EEERNS_7NetworkE</a></td>
<td class="coverFnHi">53</td>
</tr>
<tr>
<td class="coverFn"><a href="Proposal.cc.gcov.html#L16">_ZN8bayesnet8Proposal10checkInputERKN2at6TensorES4_</a></td>
<td class="coverFnHi">57</td>
</tr>
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<td class="coverFn"><a href="Proposal.cc.gcov.html#L77">_ZN8bayesnet8Proposal24fit_local_discretizationB5cxx11ERKN2at6TensorE</a></td>
<td class="coverFnHi">58</td>
</tr>
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<td class="coverFn"><a href="Proposal.cc.gcov.html#L9">_ZN8bayesnet8ProposalC2ERN2at6TensorERSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISA_EERSA_</a></td>
<td class="coverFnHi">106</td>
</tr>
<tr>
<td class="coverFn"><a href="Proposal.cc.gcov.html#L47">_ZZN8bayesnet8Proposal27localDiscretizationProposalERKSt3mapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt6vectorIiSaIiEESt4lessIS7_ESaISt4pairIKS7_SA_EEERNS_7NetworkEENKUlRKT_E0_clIS7_EEDaSO_</a></td>
<td class="coverFnHi">343</td>
</tr>
<tr>
<td class="coverFn"><a href="Proposal.cc.gcov.html#L41">_ZZN8bayesnet8Proposal27localDiscretizationProposalERKSt3mapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt6vectorIiSaIiEESt4lessIS7_ESaISt4pairIKS7_SA_EEERNS_7NetworkEENKUlRKT_E_clIPNS_4NodeEEEDaSO_</a></td>
<td class="coverFnHi">674</td>
</tr>
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html lang="en">
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<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>LCOV - coverage.info - 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%">
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<td width="10%" class="headerItem">Current view:</td>
<td width="10%" class="headerValue"><a href="../../index.html">top level</a> - <a href="index.html">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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">97.7&nbsp;%</td>
<td class="headerCovTableEntry">86</td>
<td class="headerCovTableEntry">84</td>
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryMed">88.9&nbsp;%</td>
<td class="headerCovTableEntry">9</td>
<td class="headerCovTableEntry">8</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>
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<table cellpadding=1 cellspacing=1 border=0>
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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="coverFn"><a href="Proposal.cc.gcov.html#L16">_ZN8bayesnet8Proposal10checkInputERKN2at6TensorES4_</a></td>
<td class="coverFnHi">57</td>
</tr>
<tr>
<td class="coverFn"><a href="Proposal.cc.gcov.html#L77">_ZN8bayesnet8Proposal24fit_local_discretizationB5cxx11ERKN2at6TensorE</a></td>
<td class="coverFnHi">58</td>
</tr>
<tr>
<td class="coverFn"><a href="Proposal.cc.gcov.html#L25">_ZN8bayesnet8Proposal27localDiscretizationProposalERKSt3mapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt6vectorIiSaIiEESt4lessIS7_ESaISt4pairIKS7_SA_EEERNS_7NetworkE</a></td>
<td class="coverFnHi">53</td>
</tr>
<tr>
<td class="coverFn"><a href="Proposal.cc.gcov.html#L104">_ZN8bayesnet8Proposal8prepareXERN2at6TensorE</a></td>
<td class="coverFnHi">42</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>
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<td class="headerItem">Test:</td>
<td class="headerValue">coverage.info</td>
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<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">97.7&nbsp;%</td>
<td class="headerCovTableEntry">86</td>
<td class="headerCovTableEntry">84</td>
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<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
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<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryMed">88.9&nbsp;%</td>
<td class="headerCovTableEntry">9</td>
<td class="headerCovTableEntry">8</td>
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<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 &lt;ArffFiles.h&gt;</span>
<span id="L8"><span class="lineNum"> 8</span> : #include &quot;Proposal.h&quot;</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"> 106 : Proposal::Proposal(torch::Tensor&amp; dataset_, std::vector&lt;std::string&gt;&amp; features_, std::string&amp; className_) : pDataset(dataset_), pFeatures(features_), pClassName(className_) {}</span></span>
<span id="L12"><span class="lineNum"> 12</span> <span class="tlaGNC"> 50 : Proposal::~Proposal()</span></span>
<span id="L13"><span class="lineNum"> 13</span> : {</span>
<span id="L14"><span class="lineNum"> 14</span> <span class="tlaGNC"> 474 : for (auto&amp; [key, value] : discretizers) {</span></span>
<span id="L15"><span class="lineNum"> 15</span> <span class="tlaGNC"> 424 : delete value;</span></span>
<span id="L16"><span class="lineNum"> 16</span> : }</span>
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC"> 50 : }</span></span>
<span id="L18"><span class="lineNum"> 18</span> <span class="tlaGNC"> 57 : void Proposal::checkInput(const torch::Tensor&amp; X, const torch::Tensor&amp; y)</span></span>
<span id="L19"><span class="lineNum"> 19</span> : {</span>
<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 57 : 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(&quot;X must be a floating point tensor&quot;);</span></span>
<span id="L22"><span class="lineNum"> 22</span> : }</span>
<span id="L23"><span class="lineNum"> 23</span> <span class="tlaGNC tlaBgGNC"> 57 : 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(&quot;y must be an integer tensor&quot;);</span></span>
<span id="L25"><span class="lineNum"> 25</span> : }</span>
<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC tlaBgGNC"> 57 : }</span></span>
<span id="L27"><span class="lineNum"> 27</span> <span class="tlaGNC"> 53 : map&lt;std::string, std::vector&lt;int&gt;&gt; Proposal::localDiscretizationProposal(const map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; oldStates, Network&amp; 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"> 53 : auto order = model.topological_sort();</span></span>
<span id="L32"><span class="lineNum"> 32</span> <span class="tlaGNC"> 53 : auto&amp; nodes = model.getNodes();</span></span>
<span id="L33"><span class="lineNum"> 33</span> <span class="tlaGNC"> 53 : map&lt;std::string, std::vector&lt;int&gt;&gt; states = oldStates;</span></span>
<span id="L34"><span class="lineNum"> 34</span> <span class="tlaGNC"> 53 : std::vector&lt;int&gt; indicesToReDiscretize;</span></span>
<span id="L35"><span class="lineNum"> 35</span> <span class="tlaGNC"> 53 : 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"> 444 : for (auto feature : order) {</span></span>
<span id="L37"><span class="lineNum"> 37</span> <span class="tlaGNC"> 391 : auto nodeParents = nodes[feature]-&gt;getParents();</span></span>
<span id="L38"><span class="lineNum"> 38</span> <span class="tlaGNC"> 391 : if (nodeParents.size() &lt; 2) continue; // Only has class as parent</span></span>
<span id="L39"><span class="lineNum"> 39</span> <span class="tlaGNC"> 331 : upgrade = true;</span></span>
<span id="L40"><span class="lineNum"> 40</span> <span class="tlaGNC"> 331 : int index = find(pFeatures.begin(), pFeatures.end(), feature) - pFeatures.begin();</span></span>
<span id="L41"><span class="lineNum"> 41</span> <span class="tlaGNC"> 331 : indicesToReDiscretize.push_back(index); // We need to re-discretize this feature</span></span>
<span id="L42"><span class="lineNum"> 42</span> <span class="tlaGNC"> 331 : std::vector&lt;std::string&gt; parents;</span></span>
<span id="L43"><span class="lineNum"> 43</span> <span class="tlaGNC"> 1005 : transform(nodeParents.begin(), nodeParents.end(), back_inserter(parents), [](const auto&amp; p) { return p-&gt;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"> 331 : 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"> 331 : std::vector&lt;int&gt; indices;</span></span>
<span id="L48"><span class="lineNum"> 48</span> <span class="tlaGNC"> 331 : indices.push_back(-1); // Add class index</span></span>
<span id="L49"><span class="lineNum"> 49</span> <span class="tlaGNC"> 674 : transform(parents.begin(), parents.end(), back_inserter(indices), [&amp;](const auto&amp; 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"> 331 : std::vector&lt;std::string&gt; yJoinParents(Xf.size(1));</span></span>
<span id="L52"><span class="lineNum"> 52</span> <span class="tlaGNC"> 1005 : for (auto idx : indices) {</span></span>
<span id="L53"><span class="lineNum"> 53</span> <span class="tlaGNC"> 239660 : for (int i = 0; i &lt; Xf.size(1); ++i) {</span></span>
<span id="L54"><span class="lineNum"> 54</span> <span class="tlaGNC"> 716958 : yJoinParents[i] += to_string(pDataset.index({ idx, i }).item&lt;int&gt;());</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"> 331 : auto arff = ArffFiles();</span></span>
<span id="L58"><span class="lineNum"> 58</span> <span class="tlaGNC"> 331 : auto yxv = arff.factorize(yJoinParents);</span></span>
<span id="L59"><span class="lineNum"> 59</span> <span class="tlaGNC"> 662 : auto xvf_ptr = Xf.index({ index }).data_ptr&lt;float&gt;();</span></span>
<span id="L60"><span class="lineNum"> 60</span> <span class="tlaGNC"> 331 : auto xvf = std::vector&lt;mdlp::precision_t&gt;(xvf_ptr, xvf_ptr + Xf.size(1));</span></span>
<span id="L61"><span class="lineNum"> 61</span> <span class="tlaGNC"> 331 : discretizers[feature]-&gt;fit(xvf, yxv);</span></span>
<span id="L62"><span class="lineNum"> 62</span> <span class="tlaGNC"> 451 : }</span></span>
<span id="L63"><span class="lineNum"> 63</span> <span class="tlaGNC"> 53 : 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"> 384 : for (auto index : indicesToReDiscretize) {</span></span>
<span id="L66"><span class="lineNum"> 66</span> <span class="tlaGNC"> 662 : auto Xt_ptr = Xf.index({ index }).data_ptr&lt;float&gt;();</span></span>
<span id="L67"><span class="lineNum"> 67</span> <span class="tlaGNC"> 331 : auto Xt = std::vector&lt;float&gt;(Xt_ptr, Xt_ptr + Xf.size(1));</span></span>
<span id="L68"><span class="lineNum"> 68</span> <span class="tlaGNC"> 1324 : pDataset.index_put_({ index, &quot;...&quot; }, torch::tensor(discretizers[pFeatures[index]]-&gt;transform(Xt)));</span></span>
<span id="L69"><span class="lineNum"> 69</span> <span class="tlaGNC"> 331 : auto xStates = std::vector&lt;int&gt;(discretizers[pFeatures[index]]-&gt;getCutPoints().size() + 1);</span></span>
<span id="L70"><span class="lineNum"> 70</span> <span class="tlaGNC"> 331 : 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"> 331 : states[pFeatures[index]] = xStates;</span></span>
<span id="L73"><span class="lineNum"> 73</span> <span class="tlaGNC"> 331 : }</span></span>
<span id="L74"><span class="lineNum"> 74</span> <span class="tlaGNC"> 53 : 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"> 53 : model.fit(pDataset, weights, pFeatures, pClassName, states);</span></span>
<span id="L76"><span class="lineNum"> 76</span> <span class="tlaGNC"> 53 : }</span></span>
<span id="L77"><span class="lineNum"> 77</span> <span class="tlaGNC"> 106 : return states;</span></span>
<span id="L78"><span class="lineNum"> 78</span> <span class="tlaGNC"> 240032 : }</span></span>
<span id="L79"><span class="lineNum"> 79</span> <span class="tlaGNC"> 58 : map&lt;std::string, std::vector&lt;int&gt;&gt; Proposal::fit_local_discretization(const torch::Tensor&amp; 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"> 58 : int m = Xf.size(1);</span></span>
<span id="L83"><span class="lineNum"> 83</span> <span class="tlaGNC"> 58 : int n = Xf.size(0);</span></span>
<span id="L84"><span class="lineNum"> 84</span> <span class="tlaGNC"> 58 : map&lt;std::string, std::vector&lt;int&gt;&gt; states;</span></span>
<span id="L85"><span class="lineNum"> 85</span> <span class="tlaGNC"> 58 : pDataset = torch::zeros({ n + 1, m }, torch::kInt32);</span></span>
<span id="L86"><span class="lineNum"> 86</span> <span class="tlaGNC"> 58 : auto yv = std::vector&lt;int&gt;(y.data_ptr&lt;int&gt;(), y.data_ptr&lt;int&gt;() + 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"> 486 : for (auto i = 0; i &lt; pFeatures.size(); ++i) {</span></span>
<span id="L89"><span class="lineNum"> 89</span> <span class="tlaGNC"> 428 : auto* discretizer = new mdlp::CPPFImdlp();</span></span>
<span id="L90"><span class="lineNum"> 90</span> <span class="tlaGNC"> 856 : auto Xt_ptr = Xf.index({ i }).data_ptr&lt;float&gt;();</span></span>
<span id="L91"><span class="lineNum"> 91</span> <span class="tlaGNC"> 428 : auto Xt = std::vector&lt;float&gt;(Xt_ptr, Xt_ptr + Xf.size(1));</span></span>
<span id="L92"><span class="lineNum"> 92</span> <span class="tlaGNC"> 428 : discretizer-&gt;fit(Xt, yv);</span></span>
<span id="L93"><span class="lineNum"> 93</span> <span class="tlaGNC"> 1712 : pDataset.index_put_({ i, &quot;...&quot; }, torch::tensor(discretizer-&gt;transform(Xt)));</span></span>
<span id="L94"><span class="lineNum"> 94</span> <span class="tlaGNC"> 428 : auto xStates = std::vector&lt;int&gt;(discretizer-&gt;getCutPoints().size() + 1);</span></span>
<span id="L95"><span class="lineNum"> 95</span> <span class="tlaGNC"> 428 : iota(xStates.begin(), xStates.end(), 0);</span></span>
<span id="L96"><span class="lineNum"> 96</span> <span class="tlaGNC"> 428 : states[pFeatures[i]] = xStates;</span></span>
<span id="L97"><span class="lineNum"> 97</span> <span class="tlaGNC"> 428 : discretizers[pFeatures[i]] = discretizer;</span></span>
<span id="L98"><span class="lineNum"> 98</span> <span class="tlaGNC"> 428 : }</span></span>
<span id="L99"><span class="lineNum"> 99</span> <span class="tlaGNC"> 58 : int n_classes = torch::max(y).item&lt;int&gt;() + 1;</span></span>
<span id="L100"><span class="lineNum"> 100</span> <span class="tlaGNC"> 58 : auto yStates = std::vector&lt;int&gt;(n_classes);</span></span>
<span id="L101"><span class="lineNum"> 101</span> <span class="tlaGNC"> 58 : iota(yStates.begin(), yStates.end(), 0);</span></span>
<span id="L102"><span class="lineNum"> 102</span> <span class="tlaGNC"> 58 : states[pClassName] = yStates;</span></span>
<span id="L103"><span class="lineNum"> 103</span> <span class="tlaGNC"> 174 : pDataset.index_put_({ n, &quot;...&quot; }, y);</span></span>
<span id="L104"><span class="lineNum"> 104</span> <span class="tlaGNC"> 116 : return states;</span></span>
<span id="L105"><span class="lineNum"> 105</span> <span class="tlaGNC"> 972 : }</span></span>
<span id="L106"><span class="lineNum"> 106</span> <span class="tlaGNC"> 42 : torch::Tensor Proposal::prepareX(torch::Tensor&amp; X)</span></span>
<span id="L107"><span class="lineNum"> 107</span> : {</span>
<span id="L108"><span class="lineNum"> 108</span> <span class="tlaGNC"> 42 : auto Xtd = torch::zeros_like(X, torch::kInt32);</span></span>
<span id="L109"><span class="lineNum"> 109</span> <span class="tlaGNC"> 344 : for (int i = 0; i &lt; X.size(0); ++i) {</span></span>
<span id="L110"><span class="lineNum"> 110</span> <span class="tlaGNC"> 302 : auto Xt = std::vector&lt;float&gt;(X[i].data_ptr&lt;float&gt;(), X[i].data_ptr&lt;float&gt;() + X.size(1));</span></span>
<span id="L111"><span class="lineNum"> 111</span> <span class="tlaGNC"> 302 : auto Xd = discretizers[pFeatures[i]]-&gt;transform(Xt);</span></span>
<span id="L112"><span class="lineNum"> 112</span> <span class="tlaGNC"> 906 : Xtd.index_put_({ i }, torch::tensor(Xd, torch::kInt32));</span></span>
<span id="L113"><span class="lineNum"> 113</span> <span class="tlaGNC"> 302 : }</span></span>
<span id="L114"><span class="lineNum"> 114</span> <span class="tlaGNC"> 42 : return Xtd;</span></span>
<span id="L115"><span class="lineNum"> 115</span> <span class="tlaGNC"> 302 : }</span></span>
<span id="L116"><span class="lineNum"> 116</span> : }</span>
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<title>LCOV - coverage.info - bayesnet/classifiers/SPODE.cc - functions</title>
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<td width="10%" class="headerItem">Current view:</td>
<td width="10%" class="headerValue"><a href="../../index.html">top level</a> - <a href="index.html">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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">10</td>
<td class="headerCovTableEntry">10</td>
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">3</td>
<td class="headerCovTableEntry">3</td>
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<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>
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<td class="coverFn"><a href="SPODE.cc.gcov.html#L24">_ZNK8bayesnet5SPODE5graphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE</a></td>
<td class="coverFnHi">17</td>
</tr>
<tr>
<td class="coverFn"><a href="SPODE.cc.gcov.html#L11">_ZN8bayesnet5SPODE10buildModelERKN2at6TensorE</a></td>
<td class="coverFnHi">225</td>
</tr>
<tr>
<td class="coverFn"><a href="SPODE.cc.gcov.html#L9">_ZN8bayesnet5SPODEC2Ei</a></td>
<td class="coverFnHi">252</td>
</tr>
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<td width="10%" class="headerItem">Current view:</td>
<td width="10%" class="headerValue"><a href="../../index.html">top level</a> - <a href="index.html">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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">10</td>
<td class="headerCovTableEntry">10</td>
</tr>
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<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">3</td>
<td class="headerCovTableEntry">3</td>
</tr>
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></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="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>
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<td class="coverFn"><a href="SPODE.cc.gcov.html#L11">_ZN8bayesnet5SPODE10buildModelERKN2at6TensorE</a></td>
<td class="coverFnHi">225</td>
</tr>
<tr>
<td class="coverFn"><a href="SPODE.cc.gcov.html#L9">_ZN8bayesnet5SPODEC2Ei</a></td>
<td class="coverFnHi">252</td>
</tr>
<tr>
<td class="coverFn"><a href="SPODE.cc.gcov.html#L24">_ZNK8bayesnet5SPODE5graphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE</a></td>
<td class="coverFnHi">17</td>
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<title>LCOV - coverage.info - bayesnet/classifiers/SPODE.cc</title>
<link rel="stylesheet" type="text/css" href="../../gcov.css">
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<table width="100%" border=0 cellspacing=0 cellpadding=0>
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<td width="10%" class="headerItem">Current view:</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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">10</td>
<td class="headerCovTableEntry">10</td>
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">3</td>
<td class="headerCovTableEntry">3</td>
</tr>
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<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 &quot;SPODE.h&quot;</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"> 252 : 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"> 225 : void SPODE::buildModel(const torch::Tensor&amp; 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"> 225 : 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"> 8611 : for (int i = 0; i &lt; static_cast&lt;int&gt;(features.size()); ++i) {</span></span>
<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 8386 : model.addEdge(className, features[i]);</span></span>
<span id="L21"><span class="lineNum"> 21</span> <span class="tlaGNC"> 8386 : if (i != root) {</span></span>
<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC"> 8161 : 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"> 225 : }</span></span>
<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC"> 17 : std::vector&lt;std::string&gt; SPODE::graph(const std::string&amp; name) const</span></span>
<span id="L27"><span class="lineNum"> 27</span> : {</span>
<span id="L28"><span class="lineNum"> 28</span> <span class="tlaGNC"> 17 : 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>
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View File

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<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>LCOV - coverage.info - bayesnet/classifiers/SPODE.h - functions</title>
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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">top level</a> - <a href="index.html">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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">1</td>
<td class="headerCovTableEntry">1</td>
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">2</td>
<td class="headerCovTableEntry">2</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="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>
<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">_ZN8bayesnet5SPODED0Ev</a></td>
<td class="coverFnHi">401</td>
</tr>
<tr>
<td class="coverFnAlias"><a href="SPODE.h.gcov.html#L17">_ZN8bayesnet5SPODED0Ev</a></td>
<td class="coverFnAliasHi">180</td>
</tr>
<tr>
<td class="coverFnAlias"><a href="SPODE.h.gcov.html#L17">_ZN8bayesnet5SPODED2Ev</a></td>
<td class="coverFnAliasHi">221</td>
</tr>
</table>
<br>
</center>
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<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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View File

@@ -0,0 +1,96 @@
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>LCOV - coverage.info - bayesnet/classifiers/SPODE.h - 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">top level</a> - <a href="index.html">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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">1</td>
<td class="headerCovTableEntry">1</td>
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">2</td>
<td class="headerCovTableEntry">2</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>
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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="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>
</tr>
<tr>
<td class="coverFn"><a href="SPODE.h.gcov.html#L17">_ZN8bayesnet5SPODED0Ev</a></td>
<td class="coverFnHi">401</td>
</tr>
<tr>
<td class="coverFnAlias"><a href="SPODE.h.gcov.html#L17">_ZN8bayesnet5SPODED0Ev</a></td>
<td class="coverFnAliasHi">180</td>
</tr>
<tr>
<td class="coverFnAlias"><a href="SPODE.h.gcov.html#L17">_ZN8bayesnet5SPODED2Ev</a></td>
<td class="coverFnAliasHi">221</td>
</tr>
</table>
<br>
</center>
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View File

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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<title>LCOV - coverage.info - bayesnet/classifiers/SPODE.h</title>
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<table width="100%" border=0 cellspacing=0 cellpadding=0>
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<td width="10%" class="headerItem">Current view:</td>
<td width="10%" class="headerValue"><a href="../../index.html">top level</a> - <a href="index.html">bayesnet/classifiers</a> - SPODE.h<span style="font-size: 80%;"> (source / <a href="SPODE.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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">1</td>
<td class="headerCovTableEntry">1</td>
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">2</td>
<td class="headerCovTableEntry">2</td>
</tr>
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<td><br></td>
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<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 &quot;Classifier.h&quot;</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&amp; 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"> 401 : virtual ~SPODE() = default;</span></span>
<span id="L20"><span class="lineNum"> 20</span> : std::vector&lt;std::string&gt; graph(const std::string&amp; name = &quot;SPODE&quot;) 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>
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<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
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<td class="headerCovTableEntry">26</td>
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<td class="headerValue">2024-04-21 16:43:29</td>
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<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">6</td>
<td class="headerCovTableEntry">6</td>
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<td class="coverFn"><a href="SPODELd.cc.gcov.html#L17">_ZN8bayesnet7SPODELd3fitERN2at6TensorERKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISA_EERKSA_RSt3mapISA_S4_IiSaIiEESt4lessISA_ESaISt4pairISF_SJ_EEE</a></td>
<td class="coverFnHi">2</td>
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<td class="coverFn"><a href="SPODELd.cc.gcov.html#L44">_ZNK8bayesnet7SPODELd5graphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE</a></td>
<td class="coverFnHi">9</td>
</tr>
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<td class="coverFn"><a href="SPODELd.cc.gcov.html#L39">_ZN8bayesnet7SPODELd7predictERN2at6TensorE</a></td>
<td class="coverFnHi">34</td>
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<td class="coverFn"><a href="SPODELd.cc.gcov.html#L9">_ZN8bayesnet7SPODELd3fitERN2at6TensorES3_RKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISA_EERKSA_RSt3mapISA_S4_IiSaIiEESt4lessISA_ESaISt4pairISF_SJ_EEE</a></td>
<td class="coverFnHi">42</td>
</tr>
<tr>
<td class="coverFn"><a href="SPODELd.cc.gcov.html#L27">_ZN8bayesnet7SPODELd9commonFitERKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS7_EERKS7_RSt3mapIS7_S1_IiSaIiEESt4lessIS7_ESaISt4pairISC_SG_EEE</a></td>
<td class="coverFnHi">43</td>
</tr>
<tr>
<td class="coverFn"><a href="SPODELd.cc.gcov.html#L8">_ZN8bayesnet7SPODELdC2Ei</a></td>
<td class="coverFnHi">55</td>
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<td class="headerValue">coverage.info</td>
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<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">26</td>
<td class="headerCovTableEntry">26</td>
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<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">6</td>
<td class="headerCovTableEntry">6</td>
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<td class="coverFn"><a href="SPODELd.cc.gcov.html#L17">_ZN8bayesnet7SPODELd3fitERN2at6TensorERKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISA_EERKSA_RSt3mapISA_S4_IiSaIiEESt4lessISA_ESaISt4pairISF_SJ_EEE</a></td>
<td class="coverFnHi">2</td>
</tr>
<tr>
<td class="coverFn"><a href="SPODELd.cc.gcov.html#L9">_ZN8bayesnet7SPODELd3fitERN2at6TensorES3_RKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISA_EERKSA_RSt3mapISA_S4_IiSaIiEESt4lessISA_ESaISt4pairISF_SJ_EEE</a></td>
<td class="coverFnHi">42</td>
</tr>
<tr>
<td class="coverFn"><a href="SPODELd.cc.gcov.html#L39">_ZN8bayesnet7SPODELd7predictERN2at6TensorE</a></td>
<td class="coverFnHi">34</td>
</tr>
<tr>
<td class="coverFn"><a href="SPODELd.cc.gcov.html#L27">_ZN8bayesnet7SPODELd9commonFitERKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS7_EERKS7_RSt3mapIS7_S1_IiSaIiEESt4lessIS7_ESaISt4pairISC_SG_EEE</a></td>
<td class="coverFnHi">43</td>
</tr>
<tr>
<td class="coverFn"><a href="SPODELd.cc.gcov.html#L8">_ZN8bayesnet7SPODELdC2Ei</a></td>
<td class="coverFnHi">55</td>
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<td class="coverFn"><a href="SPODELd.cc.gcov.html#L44">_ZNK8bayesnet7SPODELd5graphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE</a></td>
<td class="coverFnHi">9</td>
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<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
</tr>
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<td class="headerItem">Test:</td>
<td class="headerValue">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">26</td>
<td class="headerCovTableEntry">26</td>
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<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">6</td>
<td class="headerCovTableEntry">6</td>
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<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 &quot;SPODELd.h&quot;</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"> 55 : SPODELd::SPODELd(int root) : SPODE(root), Proposal(dataset, features, className) {}</span></span>
<span id="L11"><span class="lineNum"> 11</span> <span class="tlaGNC"> 42 : SPODELd&amp; SPODELd::fit(torch::Tensor&amp; X_, torch::Tensor&amp; y_, const std::vector&lt;std::string&gt;&amp; features_, const std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_)</span></span>
<span id="L12"><span class="lineNum"> 12</span> : {</span>
<span id="L13"><span class="lineNum"> 13</span> <span class="tlaGNC"> 42 : checkInput(X_, y_);</span></span>
<span id="L14"><span class="lineNum"> 14</span> <span class="tlaGNC"> 42 : Xf = X_;</span></span>
<span id="L15"><span class="lineNum"> 15</span> <span class="tlaGNC"> 42 : y = y_;</span></span>
<span id="L16"><span class="lineNum"> 16</span> <span class="tlaGNC"> 42 : 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"> 2 : SPODELd&amp; SPODELd::fit(torch::Tensor&amp; dataset, const std::vector&lt;std::string&gt;&amp; features_, const std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_)</span></span>
<span id="L20"><span class="lineNum"> 20</span> : {</span>
<span id="L21"><span class="lineNum"> 21</span> <span class="tlaGNC"> 2 : if (!torch::is_floating_point(dataset)) {</span></span>
<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC"> 1 : throw std::runtime_error(&quot;Dataset must be a floating point tensor&quot;);</span></span>
<span id="L23"><span class="lineNum"> 23</span> : }</span>
<span id="L24"><span class="lineNum"> 24</span> <span class="tlaGNC"> 4 : Xf = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), &quot;...&quot; }).clone();</span></span>
<span id="L25"><span class="lineNum"> 25</span> <span class="tlaGNC"> 3 : y = dataset.index({ -1, &quot;...&quot; }).clone().to(torch::kInt32);</span></span>
<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC"> 1 : return commonFit(features_, className_, states_);</span></span>
<span id="L27"><span class="lineNum"> 27</span> <span class="tlaGNC"> 3 : }</span></span>
<span id="L28"><span class="lineNum"> 28</span> : </span>
<span id="L29"><span class="lineNum"> 29</span> <span class="tlaGNC"> 43 : SPODELd&amp; SPODELd::commonFit(const std::vector&lt;std::string&gt;&amp; features_, const std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_)</span></span>
<span id="L30"><span class="lineNum"> 30</span> : {</span>
<span id="L31"><span class="lineNum"> 31</span> <span class="tlaGNC"> 43 : features = features_;</span></span>
<span id="L32"><span class="lineNum"> 32</span> <span class="tlaGNC"> 43 : className = className_;</span></span>
<span id="L33"><span class="lineNum"> 33</span> : // Fills std::vectors Xv &amp; yv with the data from tensors X_ (discretized) &amp; y</span>
<span id="L34"><span class="lineNum"> 34</span> <span class="tlaGNC"> 43 : 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"> 43 : SPODE::fit(dataset, features, className, states);</span></span>
<span id="L38"><span class="lineNum"> 38</span> <span class="tlaGNC"> 43 : states = localDiscretizationProposal(states, model);</span></span>
<span id="L39"><span class="lineNum"> 39</span> <span class="tlaGNC"> 43 : return *this;</span></span>
<span id="L40"><span class="lineNum"> 40</span> : }</span>
<span id="L41"><span class="lineNum"> 41</span> <span class="tlaGNC"> 34 : torch::Tensor SPODELd::predict(torch::Tensor&amp; X)</span></span>
<span id="L42"><span class="lineNum"> 42</span> : {</span>
<span id="L43"><span class="lineNum"> 43</span> <span class="tlaGNC"> 34 : auto Xt = prepareX(X);</span></span>
<span id="L44"><span class="lineNum"> 44</span> <span class="tlaGNC"> 68 : return SPODE::predict(Xt);</span></span>
<span id="L45"><span class="lineNum"> 45</span> <span class="tlaGNC"> 34 : }</span></span>
<span id="L46"><span class="lineNum"> 46</span> <span class="tlaGNC"> 9 : std::vector&lt;std::string&gt; SPODELd::graph(const std::string&amp; name) const</span></span>
<span id="L47"><span class="lineNum"> 47</span> : {</span>
<span id="L48"><span class="lineNum"> 48</span> <span class="tlaGNC"> 9 : 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>
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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>
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<td class="headerItem">Test:</td>
<td class="headerValue">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">1</td>
<td class="headerCovTableEntry">1</td>
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<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">2</td>
<td class="headerCovTableEntry">2</td>
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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>
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<td class="coverFn"><a href="SPODELd.h.gcov.html#L14">_ZN8bayesnet7SPODELdD0Ev</a></td>
<td class="coverFnHi">80</td>
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<td class="coverFnAlias"><a href="SPODELd.h.gcov.html#L14">_ZN8bayesnet7SPODELdD0Ev</a></td>
<td class="coverFnAliasHi">39</td>
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<td class="coverFnAlias"><a href="SPODELd.h.gcov.html#L14">_ZN8bayesnet7SPODELdD2Ev</a></td>
<td class="coverFnAliasHi">41</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>
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<td class="headerItem">Test:</td>
<td class="headerValue">coverage.info</td>
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<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">1</td>
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<td class="headerValue">2024-04-21 16:43:29</td>
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<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">2</td>
<td class="headerCovTableEntry">2</td>
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<td class="coverFn"><a href="SPODELd.h.gcov.html#L14">_ZN8bayesnet7SPODELdD0Ev</a></td>
<td class="coverFnHi">80</td>
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<td class="coverFnAlias"><a href="SPODELd.h.gcov.html#L14">_ZN8bayesnet7SPODELdD0Ev</a></td>
<td class="coverFnAliasHi">39</td>
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<tr>
<td class="coverFnAlias"><a href="SPODELd.h.gcov.html#L14">_ZN8bayesnet7SPODELdD2Ev</a></td>
<td class="coverFnAliasHi">41</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>
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<td class="headerItem">Test:</td>
<td class="headerValue">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">1</td>
<td class="headerCovTableEntry">1</td>
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<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">2</td>
<td class="headerCovTableEntry">2</td>
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<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 &quot;SPODE.h&quot;</span>
<span id="L10"><span class="lineNum"> 10</span> : #include &quot;Proposal.h&quot;</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"> 80 : virtual ~SPODELd() = default;</span></span>
<span id="L17"><span class="lineNum"> 17</span> : SPODELd&amp; fit(torch::Tensor&amp; X, torch::Tensor&amp; y, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) override;</span>
<span id="L18"><span class="lineNum"> 18</span> : SPODELd&amp; fit(torch::Tensor&amp; dataset, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) override;</span>
<span id="L19"><span class="lineNum"> 19</span> : SPODELd&amp; commonFit(const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states);</span>
<span id="L20"><span class="lineNum"> 20</span> : std::vector&lt;std::string&gt; graph(const std::string&amp; name = &quot;SPODE&quot;) const override;</span>
<span id="L21"><span class="lineNum"> 21</span> : torch::Tensor predict(torch::Tensor&amp; X) override;</span>
<span id="L22"><span class="lineNum"> 22</span> : static inline std::string version() { return &quot;0.0.1&quot;; };</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>
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<td width="10%" class="headerItem">Current view:</td>
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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>
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<td class="headerItem">Test:</td>
<td class="headerValue">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">23</td>
<td class="headerCovTableEntry">23</td>
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<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">4</td>
<td class="headerCovTableEntry">4</td>
</tr>
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<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>
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<td class="coverFn"><a href="TAN.cc.gcov.html#L39">_ZNK8bayesnet3TAN5graphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE</a></td>
<td class="coverFnHi">2</td>
</tr>
<tr>
<td class="coverFn"><a href="TAN.cc.gcov.html#L10">_ZN8bayesnet3TAN10buildModelERKN2at6TensorE</a></td>
<td class="coverFnHi">13</td>
</tr>
<tr>
<td class="coverFn"><a href="TAN.cc.gcov.html#L8">_ZN8bayesnet3TANC2Ev</a></td>
<td class="coverFnHi">47</td>
</tr>
<tr>
<td class="coverFn"><a href="TAN.cc.gcov.html#L23">_ZZN8bayesnet3TAN10buildModelERKN2at6TensorEENKUlRKT_RKT0_E_clISt4pairIifESE_EEDaS7_SA_</a></td>
<td class="coverFnHi">162</td>
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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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">23</td>
<td class="headerCovTableEntry">23</td>
</tr>
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<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">4</td>
<td class="headerCovTableEntry">4</td>
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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="coverFn"><a href="TAN.cc.gcov.html#L10">_ZN8bayesnet3TAN10buildModelERKN2at6TensorE</a></td>
<td class="coverFnHi">13</td>
</tr>
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<td class="coverFn"><a href="TAN.cc.gcov.html#L8">_ZN8bayesnet3TANC2Ev</a></td>
<td class="coverFnHi">47</td>
</tr>
<tr>
<td class="coverFn"><a href="TAN.cc.gcov.html#L39">_ZNK8bayesnet3TAN5graphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE</a></td>
<td class="coverFnHi">2</td>
</tr>
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<td class="coverFn"><a href="TAN.cc.gcov.html#L23">_ZZN8bayesnet3TAN10buildModelERKN2at6TensorEENKUlRKT_RKT0_E_clISt4pairIifESE_EEDaS7_SA_</a></td>
<td class="coverFnHi">162</td>
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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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<td class="headerItem">Test:</td>
<td class="headerValue">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">23</td>
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<td class="headerValue">2024-04-21 16:43:29</td>
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<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">4</td>
<td class="headerCovTableEntry">4</td>
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<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 &quot;TAN.h&quot;</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"> 47 : 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"> 13 : void TAN::buildModel(const torch::Tensor&amp; 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"> 13 : 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"> 13 : auto mi = std::vector &lt;std::pair&lt;int, float &gt;&gt;();</span></span>
<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC"> 39 : torch::Tensor class_dataset = dataset.index({ -1, &quot;...&quot; });</span></span>
<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 89 : for (int i = 0; i &lt; static_cast&lt;int&gt;(features.size()); ++i) {</span></span>
<span id="L21"><span class="lineNum"> 21</span> <span class="tlaGNC"> 228 : torch::Tensor feature_dataset = dataset.index({ i, &quot;...&quot; });</span></span>
<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC"> 76 : auto mi_value = metrics.mutualInformation(class_dataset, feature_dataset, weights);</span></span>
<span id="L23"><span class="lineNum"> 23</span> <span class="tlaGNC"> 76 : mi.push_back({ i, mi_value });</span></span>
<span id="L24"><span class="lineNum"> 24</span> <span class="tlaGNC"> 76 : }</span></span>
<span id="L25"><span class="lineNum"> 25</span> <span class="tlaGNC"> 175 : sort(mi.begin(), mi.end(), [](const auto&amp; left, const auto&amp; right) {return left.second &lt; right.second;});</span></span>
<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC"> 13 : 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"> 13 : 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"> 13 : 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"> 76 : for (auto i = 0; i &lt; mst.size(); ++i) {</span></span>
<span id="L33"><span class="lineNum"> 33</span> <span class="tlaGNC"> 63 : auto [from, to] = mst[i];</span></span>
<span id="L34"><span class="lineNum"> 34</span> <span class="tlaGNC"> 63 : 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"> 89 : for (auto feature : features) {</span></span>
<span id="L38"><span class="lineNum"> 38</span> <span class="tlaGNC"> 76 : model.addEdge(className, feature);</span></span>
<span id="L39"><span class="lineNum"> 39</span> <span class="tlaGNC"> 76 : }</span></span>
<span id="L40"><span class="lineNum"> 40</span> <span class="tlaGNC"> 102 : }</span></span>
<span id="L41"><span class="lineNum"> 41</span> <span class="tlaGNC"> 2 : std::vector&lt;std::string&gt; TAN::graph(const std::string&amp; title) const</span></span>
<span id="L42"><span class="lineNum"> 42</span> : {</span>
<span id="L43"><span class="lineNum"> 43</span> <span class="tlaGNC"> 2 : 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>
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<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
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<td class="headerItem">Test:</td>
<td class="headerValue">coverage.info</td>
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<td class="headerCovTableEntry">1</td>
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<td class="headerValue">2024-04-21 16:43:29</td>
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<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">2</td>
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<td class="coverFn"><a href="TAN.h.gcov.html#L15">_ZN8bayesnet3TAND0Ev</a></td>
<td class="coverFnHi">19</td>
</tr>
<tr>
<td class="coverFnAlias"><a href="TAN.h.gcov.html#L15">_ZN8bayesnet3TAND0Ev</a></td>
<td class="coverFnAliasHi">3</td>
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<td class="coverFnAlias"><a href="TAN.h.gcov.html#L15">_ZN8bayesnet3TAND2Ev</a></td>
<td class="coverFnAliasHi">16</td>
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<td class="headerCovTableEntry">1</td>
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<td class="headerValue">2024-04-21 16:43:29</td>
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<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">2</td>
<td class="headerCovTableEntry">2</td>
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<td class="coverFn"><a href="TAN.h.gcov.html#L15">_ZN8bayesnet3TAND0Ev</a></td>
<td class="coverFnHi">19</td>
</tr>
<tr>
<td class="coverFnAlias"><a href="TAN.h.gcov.html#L15">_ZN8bayesnet3TAND0Ev</a></td>
<td class="coverFnAliasHi">3</td>
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<td class="coverFnAlias"><a href="TAN.h.gcov.html#L15">_ZN8bayesnet3TAND2Ev</a></td>
<td class="coverFnAliasHi">16</td>
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<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
</tr>
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<td class="headerItem">Test:</td>
<td class="headerValue">coverage.info</td>
<td></td>
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<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">1</td>
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<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">2</td>
<td class="headerCovTableEntry">2</td>
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<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 &quot;Classifier.h&quot;</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&amp; 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"> 19 : virtual ~TAN() = default;</span></span>
<span id="L18"><span class="lineNum"> 18</span> : std::vector&lt;std::string&gt; graph(const std::string&amp; name = &quot;TAN&quot;) 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>
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<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
</tr>
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<td class="headerItem">Test:</td>
<td class="headerValue">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">17</td>
<td class="headerCovTableEntry">17</td>
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<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">4</td>
<td class="headerCovTableEntry">4</td>
</tr>
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<td class="coverFn"><a href="TANLd.cc.gcov.html#L30">_ZNK8bayesnet5TANLd5graphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE</a></td>
<td class="coverFnHi">1</td>
</tr>
<tr>
<td class="coverFn"><a href="TANLd.cc.gcov.html#L25">_ZN8bayesnet5TANLd7predictERN2at6TensorE</a></td>
<td class="coverFnHi">4</td>
</tr>
<tr>
<td class="coverFn"><a href="TANLd.cc.gcov.html#L9">_ZN8bayesnet5TANLd3fitERN2at6TensorES3_RKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISA_EERKSA_RSt3mapISA_S4_IiSaIiEESt4lessISA_ESaISt4pairISF_SJ_EEE</a></td>
<td class="coverFnHi">5</td>
</tr>
<tr>
<td class="coverFn"><a href="TANLd.cc.gcov.html#L8">_ZN8bayesnet5TANLdC2Ev</a></td>
<td class="coverFnHi">17</td>
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<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
</tr>
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<td class="headerItem">Test:</td>
<td class="headerValue">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">17</td>
<td class="headerCovTableEntry">17</td>
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<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
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<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">4</td>
<td class="headerCovTableEntry">4</td>
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<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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<td class="coverFn"><a href="TANLd.cc.gcov.html#L9">_ZN8bayesnet5TANLd3fitERN2at6TensorES3_RKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISA_EERKSA_RSt3mapISA_S4_IiSaIiEESt4lessISA_ESaISt4pairISF_SJ_EEE</a></td>
<td class="coverFnHi">5</td>
</tr>
<tr>
<td class="coverFn"><a href="TANLd.cc.gcov.html#L25">_ZN8bayesnet5TANLd7predictERN2at6TensorE</a></td>
<td class="coverFnHi">4</td>
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<tr>
<td class="coverFn"><a href="TANLd.cc.gcov.html#L8">_ZN8bayesnet5TANLdC2Ev</a></td>
<td class="coverFnHi">17</td>
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<td class="coverFn"><a href="TANLd.cc.gcov.html#L30">_ZNK8bayesnet5TANLd5graphERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE</a></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>
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<td class="headerItem">Test:</td>
<td class="headerValue">coverage.info</td>
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<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">17</td>
<td class="headerCovTableEntry">17</td>
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<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
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<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">4</td>
<td class="headerCovTableEntry">4</td>
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<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 &quot;TANLd.h&quot;</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"> 17 : TANLd::TANLd() : TAN(), Proposal(dataset, features, className) {}</span></span>
<span id="L11"><span class="lineNum"> 11</span> <span class="tlaGNC"> 5 : TANLd&amp; TANLd::fit(torch::Tensor&amp; X_, torch::Tensor&amp; y_, const std::vector&lt;std::string&gt;&amp; features_, const std::string&amp; className_, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states_)</span></span>
<span id="L12"><span class="lineNum"> 12</span> : {</span>
<span id="L13"><span class="lineNum"> 13</span> <span class="tlaGNC"> 5 : checkInput(X_, y_);</span></span>
<span id="L14"><span class="lineNum"> 14</span> <span class="tlaGNC"> 5 : features = features_;</span></span>
<span id="L15"><span class="lineNum"> 15</span> <span class="tlaGNC"> 5 : className = className_;</span></span>
<span id="L16"><span class="lineNum"> 16</span> <span class="tlaGNC"> 5 : Xf = X_;</span></span>
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC"> 5 : y = y_;</span></span>
<span id="L18"><span class="lineNum"> 18</span> : // Fills std::vectors Xv &amp; yv with the data from tensors X_ (discretized) &amp; y</span>
<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC"> 5 : 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 TAN structure, TAN::fit initializes the base Bayesian network</span>
<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC"> 5 : TAN::fit(dataset, features, className, states);</span></span>
<span id="L23"><span class="lineNum"> 23</span> <span class="tlaGNC"> 5 : states = localDiscretizationProposal(states, model);</span></span>
<span id="L24"><span class="lineNum"> 24</span> <span class="tlaGNC"> 5 : return *this;</span></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> <span class="tlaGNC"> 4 : torch::Tensor TANLd::predict(torch::Tensor&amp; X)</span></span>
<span id="L28"><span class="lineNum"> 28</span> : {</span>
<span id="L29"><span class="lineNum"> 29</span> <span class="tlaGNC"> 4 : auto Xt = prepareX(X);</span></span>
<span id="L30"><span class="lineNum"> 30</span> <span class="tlaGNC"> 8 : return TAN::predict(Xt);</span></span>
<span id="L31"><span class="lineNum"> 31</span> <span class="tlaGNC"> 4 : }</span></span>
<span id="L32"><span class="lineNum"> 32</span> <span class="tlaGNC"> 1 : std::vector&lt;std::string&gt; TANLd::graph(const std::string&amp; name) const</span></span>
<span id="L33"><span class="lineNum"> 33</span> : {</span>
<span id="L34"><span class="lineNum"> 34</span> <span class="tlaGNC"> 1 : return TAN::graph(name);</span></span>
<span id="L35"><span class="lineNum"> 35</span> : }</span>
<span id="L36"><span class="lineNum"> 36</span> : }</span>
</pre>
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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>
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<td class="headerItem">Test:</td>
<td class="headerValue">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">1</td>
<td class="headerCovTableEntry">1</td>
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<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">2</td>
<td class="headerCovTableEntry">2</td>
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<td class="tableHead">Function Name <span title="Click to sort table by function name" class="tableHeadSort"><a href="TANLd.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="coverFn"><a href="TANLd.h.gcov.html#L15">_ZN8bayesnet5TANLdD0Ev</a></td>
<td class="coverFnHi">5</td>
</tr>
<tr>
<td class="coverFnAlias"><a href="TANLd.h.gcov.html#L15">_ZN8bayesnet5TANLdD0Ev</a></td>
<td class="coverFnAliasHi">2</td>
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<tr>
<td class="coverFnAlias"><a href="TANLd.h.gcov.html#L15">_ZN8bayesnet5TANLdD2Ev</a></td>
<td class="coverFnAliasHi">3</td>
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<td width="10%" class="headerItem">Current view:</td>
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<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
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<td class="headerItem">Test:</td>
<td class="headerValue">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">1</td>
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<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">2</td>
<td class="headerCovTableEntry">2</td>
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<td class="coverFn"><a href="TANLd.h.gcov.html#L15">_ZN8bayesnet5TANLdD0Ev</a></td>
<td class="coverFnHi">5</td>
</tr>
<tr>
<td class="coverFnAlias"><a href="TANLd.h.gcov.html#L15">_ZN8bayesnet5TANLdD0Ev</a></td>
<td class="coverFnAliasHi">2</td>
</tr>
<tr>
<td class="coverFnAlias"><a href="TANLd.h.gcov.html#L15">_ZN8bayesnet5TANLdD2Ev</a></td>
<td class="coverFnAliasHi">3</td>
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<td width="5%" class="headerCovTableHead" title="Exercised code only">Hit</td>
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<td class="headerItem">Test:</td>
<td class="headerValue">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">1</td>
<td class="headerCovTableEntry">1</td>
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<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
<td class="headerCovTableEntry">2</td>
<td class="headerCovTableEntry">2</td>
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<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 TANLD_H</span>
<span id="L8"><span class="lineNum"> 8</span> : #define TANLD_H</span>
<span id="L9"><span class="lineNum"> 9</span> : #include &quot;TAN.h&quot;</span>
<span id="L10"><span class="lineNum"> 10</span> : #include &quot;Proposal.h&quot;</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 TANLd : public TAN, 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> : TANLd();</span>
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC tlaBgGNC"> 5 : virtual ~TANLd() = default;</span></span>
<span id="L18"><span class="lineNum"> 18</span> : TANLd&amp; fit(torch::Tensor&amp; X, torch::Tensor&amp; y, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, map&lt;std::string, std::vector&lt;int&gt;&gt;&amp; states) override;</span>
<span id="L19"><span class="lineNum"> 19</span> : std::vector&lt;std::string&gt; graph(const std::string&amp; name = &quot;TAN&quot;) const override;</span>
<span id="L20"><span class="lineNum"> 20</span> : torch::Tensor predict(torch::Tensor&amp; X) override;</span>
<span id="L21"><span class="lineNum"> 21</span> : static inline std::string version() { return &quot;0.0.1&quot;; };</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 // !TANLD_H</span>
</pre>
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<td width="10%" class="headerValue"><a href="../../index.html">top level</a> - bayesnet/classifiers</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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">98.9&nbsp;%</td>
<td class="headerCovTableEntry">369</td>
<td class="headerCovTableEntry">365</td>
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<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">97.4&nbsp;%</td>
<td class="headerCovTableEntry">76</td>
<td class="headerCovTableEntry">74</td>
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<td width="40%"><br></td>
<td width="8%"></td>
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<td class="tableHead" colspan=2> Rate</td>
<td class="tableHead"> Total</td>
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<td class="tableHead"> Rate</td>
<td class="tableHead"> Total</td>
<td class="tableHead"> Hit</td>
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<td class="coverFile"><a href="Classifier.h.gcov.html">Classifier.h</a></td>
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<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">4</td>
<td class="coverNumDflt">4</td>
<td class="coverPerMed">80.0&nbsp;%</td>
<td class="coverNumDflt">5</td>
<td class="coverNumDflt">4</td>
</tr>
<tr>
<td class="coverFile"><a href="Proposal.cc.gcov.html">Proposal.cc</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="97.7%"><img src="../../snow.png" width=2 height=10 alt="97.7%"></td></tr></table>
</td>
<td class="coverPerHi">97.7&nbsp;%</td>
<td class="coverNumDflt">86</td>
<td class="coverNumDflt">84</td>
<td class="coverPerMed">88.9&nbsp;%</td>
<td class="coverNumDflt">9</td>
<td class="coverNumDflt">8</td>
</tr>
<tr>
<td class="coverFile"><a href="KDB.h.gcov.html">KDB.h</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">1</td>
<td class="coverNumDflt">1</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">2</td>
<td class="coverNumDflt">2</td>
</tr>
<tr>
<td class="coverFile"><a href="KDBLd.h.gcov.html">KDBLd.h</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">1</td>
<td class="coverNumDflt">1</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">2</td>
<td class="coverNumDflt">2</td>
</tr>
<tr>
<td class="coverFile"><a href="SPODE.h.gcov.html">SPODE.h</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">1</td>
<td class="coverNumDflt">1</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">2</td>
<td class="coverNumDflt">2</td>
</tr>
<tr>
<td class="coverFile"><a href="SPODELd.h.gcov.html">SPODELd.h</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">1</td>
<td class="coverNumDflt">1</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">2</td>
<td class="coverNumDflt">2</td>
</tr>
<tr>
<td class="coverFile"><a href="TAN.h.gcov.html">TAN.h</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">1</td>
<td class="coverNumDflt">1</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">2</td>
<td class="coverNumDflt">2</td>
</tr>
<tr>
<td class="coverFile"><a href="TANLd.h.gcov.html">TANLd.h</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">1</td>
<td class="coverNumDflt">1</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">2</td>
<td class="coverNumDflt">2</td>
</tr>
<tr>
<td class="coverFile"><a href="SPODE.cc.gcov.html">SPODE.cc</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">10</td>
<td class="coverNumDflt">10</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">3</td>
<td class="coverNumDflt">3</td>
</tr>
<tr>
<td class="coverFile"><a href="KDBLd.cc.gcov.html">KDBLd.cc</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">17</td>
<td class="coverNumDflt">17</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">4</td>
<td class="coverNumDflt">4</td>
</tr>
<tr>
<td class="coverFile"><a href="TAN.cc.gcov.html">TAN.cc</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">23</td>
<td class="coverNumDflt">23</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">4</td>
<td class="coverNumDflt">4</td>
</tr>
<tr>
<td class="coverFile"><a href="TANLd.cc.gcov.html">TANLd.cc</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">17</td>
<td class="coverNumDflt">17</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">4</td>
<td class="coverNumDflt">4</td>
</tr>
<tr>
<td class="coverFile"><a href="KDB.cc.gcov.html">KDB.cc</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=96 height=10 alt="96.3%"><img src="../../snow.png" width=4 height=10 alt="96.3%"></td></tr></table>
</td>
<td class="coverPerHi">96.3&nbsp;%</td>
<td class="coverNumDflt">54</td>
<td class="coverNumDflt">52</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">5</td>
<td class="coverNumDflt">5</td>
</tr>
<tr>
<td class="coverFile"><a href="SPODELd.cc.gcov.html">SPODELd.cc</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">26</td>
<td class="coverNumDflt">26</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">6</td>
<td class="coverNumDflt">6</td>
</tr>
<tr>
<td class="coverFile"><a href="Classifier.cc.gcov.html">Classifier.cc</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">126</td>
<td class="coverNumDflt">126</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">24</td>
<td class="coverNumDflt">24</td>
</tr>
</table>
</center>
<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">LCOV version 2.0-1</a></td></tr>
</table>
<br>
</body>
</html>

View File

@@ -0,0 +1,273 @@
<!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 - coverage.info - bayesnet/classifiers</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">top level</a> - bayesnet/classifiers</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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">98.9&nbsp;%</td>
<td class="headerCovTableEntry">369</td>
<td class="headerCovTableEntry">365</td>
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">97.4&nbsp;%</td>
<td class="headerCovTableEntry">76</td>
<td class="headerCovTableEntry">74</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 width="80%" cellpadding=1 cellspacing=1 border=0>
<tr>
<td width="40%"><br></td>
<td width="8%"></td>
<td width="8%"></td>
<td width="8%"></td>
<td width="8%"></td>
<td width="8%"></td>
<td width="8%"></td>
<td width="8%"></td>
</tr>
<tr>
<td class="tableHead" rowspan=2>Filename <span title="Click to sort table by file name" class="tableHeadSort"><a href="index.html"><img src="../../updown.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></a></span></td>
<td class="tableHead" colspan=4>Line Coverage <span title="Click to sort table by line coverage" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></span></td>
<td class="tableHead" colspan=3>Function Coverage <span title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
</tr>
<tr>
<td class="tableHead" colspan=2> Rate</td>
<td class="tableHead"> Total</td>
<td class="tableHead"> Hit</td>
<td class="tableHead"> Rate</td>
<td class="tableHead"> Total</td>
<td class="tableHead"> Hit</td>
</tr>
<tr>
<td class="coverFile"><a href="KDB.cc.gcov.html">KDB.cc</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=96 height=10 alt="96.3%"><img src="../../snow.png" width=4 height=10 alt="96.3%"></td></tr></table>
</td>
<td class="coverPerHi">96.3&nbsp;%</td>
<td class="coverNumDflt">54</td>
<td class="coverNumDflt">52</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">5</td>
<td class="coverNumDflt">5</td>
</tr>
<tr>
<td class="coverFile"><a href="Proposal.cc.gcov.html">Proposal.cc</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="97.7%"><img src="../../snow.png" width=2 height=10 alt="97.7%"></td></tr></table>
</td>
<td class="coverPerHi">97.7&nbsp;%</td>
<td class="coverNumDflt">86</td>
<td class="coverNumDflt">84</td>
<td class="coverPerMed">88.9&nbsp;%</td>
<td class="coverNumDflt">9</td>
<td class="coverNumDflt">8</td>
</tr>
<tr>
<td class="coverFile"><a href="KDB.h.gcov.html">KDB.h</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">1</td>
<td class="coverNumDflt">1</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">2</td>
<td class="coverNumDflt">2</td>
</tr>
<tr>
<td class="coverFile"><a href="KDBLd.h.gcov.html">KDBLd.h</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">1</td>
<td class="coverNumDflt">1</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">2</td>
<td class="coverNumDflt">2</td>
</tr>
<tr>
<td class="coverFile"><a href="SPODE.h.gcov.html">SPODE.h</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">1</td>
<td class="coverNumDflt">1</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">2</td>
<td class="coverNumDflt">2</td>
</tr>
<tr>
<td class="coverFile"><a href="SPODELd.h.gcov.html">SPODELd.h</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">1</td>
<td class="coverNumDflt">1</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">2</td>
<td class="coverNumDflt">2</td>
</tr>
<tr>
<td class="coverFile"><a href="TAN.h.gcov.html">TAN.h</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">1</td>
<td class="coverNumDflt">1</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">2</td>
<td class="coverNumDflt">2</td>
</tr>
<tr>
<td class="coverFile"><a href="TANLd.h.gcov.html">TANLd.h</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">1</td>
<td class="coverNumDflt">1</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">2</td>
<td class="coverNumDflt">2</td>
</tr>
<tr>
<td class="coverFile"><a href="Classifier.h.gcov.html">Classifier.h</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">4</td>
<td class="coverNumDflt">4</td>
<td class="coverPerMed">80.0&nbsp;%</td>
<td class="coverNumDflt">5</td>
<td class="coverNumDflt">4</td>
</tr>
<tr>
<td class="coverFile"><a href="SPODE.cc.gcov.html">SPODE.cc</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">10</td>
<td class="coverNumDflt">10</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">3</td>
<td class="coverNumDflt">3</td>
</tr>
<tr>
<td class="coverFile"><a href="KDBLd.cc.gcov.html">KDBLd.cc</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">17</td>
<td class="coverNumDflt">17</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">4</td>
<td class="coverNumDflt">4</td>
</tr>
<tr>
<td class="coverFile"><a href="TANLd.cc.gcov.html">TANLd.cc</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">17</td>
<td class="coverNumDflt">17</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">4</td>
<td class="coverNumDflt">4</td>
</tr>
<tr>
<td class="coverFile"><a href="TAN.cc.gcov.html">TAN.cc</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">23</td>
<td class="coverNumDflt">23</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">4</td>
<td class="coverNumDflt">4</td>
</tr>
<tr>
<td class="coverFile"><a href="SPODELd.cc.gcov.html">SPODELd.cc</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">26</td>
<td class="coverNumDflt">26</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">6</td>
<td class="coverNumDflt">6</td>
</tr>
<tr>
<td class="coverFile"><a href="Classifier.cc.gcov.html">Classifier.cc</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">126</td>
<td class="coverNumDflt">126</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">24</td>
<td class="coverNumDflt">24</td>
</tr>
</table>
</center>
<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">LCOV version 2.0-1</a></td></tr>
</table>
<br>
</body>
</html>

View File

@@ -0,0 +1,273 @@
<!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 - coverage.info - bayesnet/classifiers</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">top level</a> - bayesnet/classifiers</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">coverage.info</td>
<td></td>
<td class="headerItem">Lines:</td>
<td class="headerCovTableEntryHi">98.9&nbsp;%</td>
<td class="headerCovTableEntry">369</td>
<td class="headerCovTableEntry">365</td>
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-21 16:43:29</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">97.4&nbsp;%</td>
<td class="headerCovTableEntry">76</td>
<td class="headerCovTableEntry">74</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 width="80%" cellpadding=1 cellspacing=1 border=0>
<tr>
<td width="40%"><br></td>
<td width="8%"></td>
<td width="8%"></td>
<td width="8%"></td>
<td width="8%"></td>
<td width="8%"></td>
<td width="8%"></td>
<td width="8%"></td>
</tr>
<tr>
<td class="tableHead" rowspan=2>Filename <span title="Click to sort table by file name" class="tableHeadSort"><img src="../../glass.png" width=10 height=14 alt="Sort by file name" title="Click to sort table by file name" border=0></span></td>
<td class="tableHead" colspan=4>Line Coverage <span title="Click to sort table by line coverage" class="tableHeadSort"><a href="index-sort-l.html"><img src="../../updown.png" width=10 height=14 alt="Sort by line coverage" title="Click to sort table by line coverage" border=0></a></span></td>
<td class="tableHead" colspan=3>Function Coverage <span title="Click to sort table by function coverage" class="tableHeadSort"><a href="index-sort-f.html"><img src="../../updown.png" width=10 height=14 alt="Sort by function coverage" title="Click to sort table by function coverage" border=0></a></span></td>
</tr>
<tr>
<td class="tableHead" colspan=2> Rate</td>
<td class="tableHead"> Total</td>
<td class="tableHead"> Hit</td>
<td class="tableHead"> Rate</td>
<td class="tableHead"> Total</td>
<td class="tableHead"> Hit</td>
</tr>
<tr>
<td class="coverFile"><a href="Classifier.cc.gcov.html">Classifier.cc</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">126</td>
<td class="coverNumDflt">126</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">24</td>
<td class="coverNumDflt">24</td>
</tr>
<tr>
<td class="coverFile"><a href="Classifier.h.gcov.html">Classifier.h</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">4</td>
<td class="coverNumDflt">4</td>
<td class="coverPerMed">80.0&nbsp;%</td>
<td class="coverNumDflt">5</td>
<td class="coverNumDflt">4</td>
</tr>
<tr>
<td class="coverFile"><a href="KDB.cc.gcov.html">KDB.cc</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=96 height=10 alt="96.3%"><img src="../../snow.png" width=4 height=10 alt="96.3%"></td></tr></table>
</td>
<td class="coverPerHi">96.3&nbsp;%</td>
<td class="coverNumDflt">54</td>
<td class="coverNumDflt">52</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">5</td>
<td class="coverNumDflt">5</td>
</tr>
<tr>
<td class="coverFile"><a href="KDB.h.gcov.html">KDB.h</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">1</td>
<td class="coverNumDflt">1</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">2</td>
<td class="coverNumDflt">2</td>
</tr>
<tr>
<td class="coverFile"><a href="KDBLd.cc.gcov.html">KDBLd.cc</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">17</td>
<td class="coverNumDflt">17</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">4</td>
<td class="coverNumDflt">4</td>
</tr>
<tr>
<td class="coverFile"><a href="KDBLd.h.gcov.html">KDBLd.h</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">1</td>
<td class="coverNumDflt">1</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">2</td>
<td class="coverNumDflt">2</td>
</tr>
<tr>
<td class="coverFile"><a href="Proposal.cc.gcov.html">Proposal.cc</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=98 height=10 alt="97.7%"><img src="../../snow.png" width=2 height=10 alt="97.7%"></td></tr></table>
</td>
<td class="coverPerHi">97.7&nbsp;%</td>
<td class="coverNumDflt">86</td>
<td class="coverNumDflt">84</td>
<td class="coverPerMed">88.9&nbsp;%</td>
<td class="coverNumDflt">9</td>
<td class="coverNumDflt">8</td>
</tr>
<tr>
<td class="coverFile"><a href="SPODE.cc.gcov.html">SPODE.cc</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">10</td>
<td class="coverNumDflt">10</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">3</td>
<td class="coverNumDflt">3</td>
</tr>
<tr>
<td class="coverFile"><a href="SPODE.h.gcov.html">SPODE.h</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">1</td>
<td class="coverNumDflt">1</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">2</td>
<td class="coverNumDflt">2</td>
</tr>
<tr>
<td class="coverFile"><a href="SPODELd.cc.gcov.html">SPODELd.cc</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">26</td>
<td class="coverNumDflt">26</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">6</td>
<td class="coverNumDflt">6</td>
</tr>
<tr>
<td class="coverFile"><a href="SPODELd.h.gcov.html">SPODELd.h</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">1</td>
<td class="coverNumDflt">1</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">2</td>
<td class="coverNumDflt">2</td>
</tr>
<tr>
<td class="coverFile"><a href="TAN.cc.gcov.html">TAN.cc</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">23</td>
<td class="coverNumDflt">23</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">4</td>
<td class="coverNumDflt">4</td>
</tr>
<tr>
<td class="coverFile"><a href="TAN.h.gcov.html">TAN.h</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">1</td>
<td class="coverNumDflt">1</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">2</td>
<td class="coverNumDflt">2</td>
</tr>
<tr>
<td class="coverFile"><a href="TANLd.cc.gcov.html">TANLd.cc</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">17</td>
<td class="coverNumDflt">17</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">4</td>
<td class="coverNumDflt">4</td>
</tr>
<tr>
<td class="coverFile"><a href="TANLd.h.gcov.html">TANLd.h</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">1</td>
<td class="coverNumDflt">1</td>
<td class="coverPerHi">100.0&nbsp;%</td>
<td class="coverNumDflt">2</td>
<td class="coverNumDflt">2</td>
</tr>
</table>
</center>
<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">LCOV version 2.0-1</a></td></tr>
</table>
<br>
</body>
</html>