Refactor coverage report generation
Add some tests to reach 99%
This commit is contained in:
@@ -4,7 +4,7 @@
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<head>
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<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
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<title>LCOV - coverage.info - bayesnet/classifiers/Classifier.cc - functions</title>
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<title>LCOV - BayesNet Coverage Report - bayesnet/classifiers/Classifier.cc - functions</title>
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<link rel="stylesheet" type="text/css" href="../../gcov.css">
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</head>
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@@ -19,7 +19,7 @@
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<table cellpadding=1 border=0 width="100%">
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<tr>
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<td width="10%" class="headerItem">Current view:</td>
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<td width="10%" class="headerValue"><a href="../../index.html">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>
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<td width="10%" class="headerValue"><a href="../../index.html" target="_parent">top level</a> - <a href="index.html" target="_parent">bayesnet/classifiers</a> - Classifier.cc<span style="font-size: 80%;"> (<a href="Classifier.cc.gcov.html">source</a> / functions)</span></td>
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<td width="5%"></td>
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<td width="5%"></td>
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<td width="5%" class="headerCovTableHead">Coverage</td>
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@@ -28,7 +28,7 @@
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</tr>
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<tr>
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<td class="headerItem">Test:</td>
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<td class="headerValue">coverage.info</td>
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<td class="headerValue">BayesNet Coverage Report</td>
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<td></td>
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<td class="headerItem">Lines:</td>
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<td class="headerCovTableEntryHi">100.0 %</td>
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@@ -37,12 +37,20 @@
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</tr>
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<tr>
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<td class="headerItem">Test Date:</td>
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<td class="headerValue">2024-04-30 20:26:57</td>
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<td class="headerValue">2024-05-06 17:54:04</td>
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<td></td>
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<td class="headerItem">Functions:</td>
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<td class="headerCovTableEntryHi">100.0 %</td>
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<td class="headerCovTableEntry">24</td>
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<td class="headerCovTableEntry">24</td>
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</tr>
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<tr>
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<td class="headerItem">Legend:</td>
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<td class="headerValueLeg"> Lines:
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<span class="coverLegendCov">hit</span>
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<span class="coverLegendNoCov">not hit</span>
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</td>
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<td></td>
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</tr>
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<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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</table>
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@@ -65,168 +73,168 @@
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L182">bayesnet::Classifier::dump_cpt[abi:cxx11]() const</a></td>
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<td class="coverFnHi">2</td>
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<td class="coverFnHi">4</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L178">bayesnet::Classifier::topological_order[abi:cxx11]()</a></td>
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<td class="coverFnHi">2</td>
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<td class="coverFnHi">4</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L101">bayesnet::Classifier::predict(std::vector<std::vector<int, std::allocator<int> >, std::allocator<std::vector<int, std::allocator<int> > > >&)</a></td>
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<td class="coverFnHi">8</td>
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<td class="coverFnHi">16</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L142">bayesnet::Classifier::score(std::vector<std::vector<int, std::allocator<int> >, std::allocator<std::vector<int, std::allocator<int> > > >&, std::vector<int, std::allocator<int> >&)</a></td>
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<td class="coverFnHi">8</td>
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<td class="coverFnHi">16</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L170">bayesnet::Classifier::getNumberOfStates() const</a></td>
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<td class="coverFnHi">12</td>
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<td class="coverFnHi">24</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L149">bayesnet::Classifier::show[abi:cxx11]() const</a></td>
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<td class="coverFnHi">12</td>
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<td class="coverFnHi">24</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L186">bayesnet::Classifier::setHyperparameters(nlohmann::json_abi_v3_11_3::basic_json<std::map, std::vector, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, bool, long, unsigned long, double, std::allocator, nlohmann::json_abi_v3_11_3::adl_serializer, std::vector<unsigned char, std::allocator<unsigned char> >, void> const&)</a></td>
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<td class="coverFnHi">42</td>
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<td class="coverFnHi">92</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L137">bayesnet::Classifier::score(at::Tensor&, at::Tensor&)</a></td>
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<td class="coverFnHi">56</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L55">bayesnet::Classifier::fit(std::vector<std::vector<int, std::allocator<int> >, std::allocator<std::vector<int, std::allocator<int> > > >&, std::vector<int, std::allocator<int> >&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&)</a></td>
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<td class="coverFnHi">60</td>
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<td class="coverFnHi">112</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L47">bayesnet::Classifier::fit(at::Tensor&, at::Tensor&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&)</a></td>
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<td class="coverFnHi">64</td>
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<td class="coverFnHi">128</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L55">bayesnet::Classifier::fit(std::vector<std::vector<int, std::allocator<int> >, std::allocator<std::vector<int, std::allocator<int> > > >&, std::vector<int, std::allocator<int> >&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&)</a></td>
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<td class="coverFnHi">136</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L166">bayesnet::Classifier::getNumberOfEdges() const</a></td>
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<td class="coverFnHi">94</td>
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<td class="coverFnHi">332</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L161">bayesnet::Classifier::getNumberOfNodes() const</a></td>
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<td class="coverFnHi">94</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L122">bayesnet::Classifier::predict_proba(std::vector<std::vector<int, std::allocator<int> >, std::allocator<std::vector<int, std::allocator<int> > > >&)</a></td>
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<td class="coverFnHi">130</td>
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<td class="coverFnHi">332</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L28">bayesnet::Classifier::buildDataset(at::Tensor&)</a></td>
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<td class="coverFnHi">162</td>
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<td class="coverFnHi">340</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L174">bayesnet::Classifier::getClassNumStates() const</a></td>
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<td class="coverFnHi">170</td>
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<td class="coverFnHi">348</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L66">bayesnet::Classifier::fit(at::Tensor&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&)</a></td>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L122">bayesnet::Classifier::predict_proba(std::vector<std::vector<int, std::allocator<int> >, std::allocator<std::vector<int, std::allocator<int> > > >&)</a></td>
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<td class="coverFnHi">198</td>
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<td class="coverFnHi">548</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L72">bayesnet::Classifier::fit(at::Tensor&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&, at::Tensor const&)</a></td>
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<td class="coverFnHi">330</td>
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<td class="coverFnHi">660</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L153">bayesnet::Classifier::addNodes()</a></td>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L66">bayesnet::Classifier::fit(at::Tensor&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&)</a></td>
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<td class="coverFnHi">560</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L42">bayesnet::Classifier::trainModel(at::Tensor const&)</a></td>
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<td class="coverFnHi">560</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L12">bayesnet::Classifier::build(std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&, at::Tensor const&)</a></td>
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<td class="coverFnHi">644</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L77">bayesnet::Classifier::checkFitParameters()</a></td>
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<td class="coverFnHi">644</td>
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<td class="coverFnHi">852</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L115">bayesnet::Classifier::predict_proba(at::Tensor&)</a></td>
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<td class="coverFnHi">742</td>
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<td class="coverFnHi">1484</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L153">bayesnet::Classifier::addNodes()</a></td>
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<td class="coverFnHi">1576</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L42">bayesnet::Classifier::trainModel(at::Tensor const&)</a></td>
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<td class="coverFnHi">1576</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L12">bayesnet::Classifier::build(std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<int, std::allocator<int> >, std::less<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::vector<int, std::allocator<int> > > > >&, at::Tensor const&)</a></td>
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<td class="coverFnHi">1760</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L77">bayesnet::Classifier::checkFitParameters()</a></td>
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<td class="coverFnHi">1760</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L94">bayesnet::Classifier::predict(at::Tensor&)</a></td>
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<td class="coverFnHi">850</td>
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<td class="coverFnHi">1844</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="Classifier.cc.gcov.html#L10">bayesnet::Classifier::Classifier(bayesnet::Network)</a></td>
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<td class="coverFnHi">886</td>
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<td class="coverFnHi">2240</td>
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</tr>
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