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< title > LCOV - coverage.info - bayesnet/ensembles/Ensemble.cc - functions< / title >
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< tr > < td class = "title" > LCOV - code coverage report< / 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/ensembles< / a > - Ensemble.cc< span style = "font-size: 80%;" > (< a href = "Ensemble.cc.gcov.html" > source< / a > / functions)< / span > < / 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" > 98.1 %< / td >
< td class = "headerCovTableEntry" > 154< / td >
< td class = "headerCovTableEntry" > 151< / td >
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< td class = "headerItem" > Test Date:< / td >
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< td class = "headerValue" > 2024-04-30 13:59:18< / td >
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< td class = "headerItem" > Functions:< / td >
< td class = "headerCovTableEntryHi" > 100.0 %< / td >
< td class = "headerCovTableEntry" > 25< / td >
< td class = "headerCovTableEntry" > 25< / td >
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< td class = "tableHead" > Function Name < span title = "Click to sort table by function name" class = "tableHeadSort" > < a href = "Ensemble.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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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L212" > bayesnet::Ensemble::getNumberOfStates() const< / a > < / td >
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< td class = "coverFnHi" > 6< / td >
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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L178" > bayesnet::Ensemble::show[abi:cxx11]() const< / a > < / td >
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< td class = "coverFnHi" > 6< / td >
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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L187" > bayesnet::Ensemble::graph(std::__cxx11::basic_string< char, std::char_traits< char> , std::allocator< char> > const& ) const< / a > < / td >
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< td class = "coverFnHi" > 18< / td >
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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L204" > bayesnet::Ensemble::getNumberOfEdges() const< / a > < / td >
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< td class = "coverFnHi" > 36< / td >
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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L196" > bayesnet::Ensemble::getNumberOfNodes() const< / a > < / td >
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< td class = "coverFnHi" > 36< / td >
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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L14" > bayesnet::Ensemble::trainModel(at::Tensor const& )< / a > < / td >
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< td class = "coverFnHi" > 36< / td >
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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L131" > bayesnet::Ensemble::predict_average_voting(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" > 42< / td >
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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L102" > bayesnet::Ensemble::predict_average_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" > 54< / td >
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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L167" > bayesnet::Ensemble::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" > 60< / td >
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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L22" > bayesnet::Ensemble::compute_arg_max(std::vector< std::vector< double, std::allocator< double> > , std::allocator< std::vector< double, std::allocator< double> > > > & )< / a > < / td >
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< td class = "coverFnHi" > 66< / td >
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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L72" > bayesnet::Ensemble::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" > 84< / td >
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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L156" > bayesnet::Ensemble::score(at::Tensor& , at::Tensor& )< / a > < / td >
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< td class = "coverFnHi" > 120< / td >
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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L58" > bayesnet::Ensemble::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" > 132< / td >
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< tr >
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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L138" > bayesnet::Ensemble::predict_average_voting(at::Tensor& )< / a > < / td >
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< td class = "coverFnHi" > 240< / td >
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< tr >
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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L36" > bayesnet::Ensemble::voting(at::Tensor& )< / a > < / td >
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< td class = "coverFnHi" > 240< / td >
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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L109" > bayesnet::Ensemble::predict_average_proba(std::vector< std::vector< int, std::allocator< int> > , std::allocator< std::vector< int, std::allocator< int> > > > & )::{lambda()#1}::operator()() const< / a > < / td >
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< td class = "coverFnHi" > 366< / td >
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< tr >
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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L82" > bayesnet::Ensemble::predict_average_proba(at::Tensor& )< / a > < / td >
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< td class = "coverFnHi" > 444< / td >
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< tr >
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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L9" > bayesnet::Ensemble::Ensemble(bool)< / a > < / td >
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< td class = "coverFnHi" > 468< / td >
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< tr >
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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L31" > bayesnet::Ensemble::compute_arg_max(at::Tensor& )< / a > < / td >
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< td class = "coverFnHi" > 636< / td >
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< tr >
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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L77" > bayesnet::Ensemble::predict(at::Tensor& )< / a > < / td >
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< td class = "coverFnHi" > 654< / td >
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< / tr >
< tr >
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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L65" > bayesnet::Ensemble::predict_proba(at::Tensor& )< / a > < / td >
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< td class = "coverFnHi" > 678< / td >
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< tr >
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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L145" > bayesnet::Ensemble::predict_average_voting(at::Tensor& )::{lambda()#1}::operator()() const< / a > < / td >
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< td class = "coverFnHi" > 1608< / td >
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< / tr >
< tr >
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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L89" > bayesnet::Ensemble::predict_average_proba(at::Tensor& )::{lambda()#1}::operator()() const< / a > < / td >
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< td class = "coverFnHi" > 2202< / td >
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< tr >
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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L127" > bayesnet::Ensemble::predict_average_proba(std::vector< std::vector< int, std::allocator< int> > , std::allocator< std::vector< int, std::allocator< int> > > > & )::{lambda(double)#1}::operator()(double) const< / a > < / td >
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< td class = "coverFnHi" > 49320< / td >
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< / tr >
< tr >
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< td class = "coverFn" > < a href = "Ensemble.cc.gcov.html#L117" > bayesnet::Ensemble::predict_average_proba(std::vector< std::vector< int, std::allocator< int> > , std::allocator< std::vector< int, std::allocator< int> > > > & )::{lambda()#1}::operator()() const::{lambda(double, double)#1}::operator()(double, double) const< / a > < / td >
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< td class = "coverFnHi" > 389880< / td >
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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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