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< title > LCOV - coverage.info - bayesnet/feature_selection/FCBF.cc< / 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/feature_selection< / a > - FCBF.cc< span style = "font-size: 80%;" > (source / < a href = "FCBF.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 >
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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" > 92.3 %< / td >
< td class = "headerCovTableEntry" > 26< / td >
< td class = "headerCovTableEntry" > 24< / 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 > < / td >
< td class = "headerItem" > Functions:< / td >
< td class = "headerCovTableEntryHi" > 100.0 %< / td >
< td class = "headerCovTableEntry" > 2< / td >
< td class = "headerCovTableEntry" > 2< / td >
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< pre class = "sourceHeading" > Line data Source code< / pre >
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< 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 " bayesnet/utils/bayesnetUtils.h" < / span >
< span id = "L8" > < span class = "lineNum" > 8< / span > : #include " FCBF.h" < / span >
< span id = "L9" > < span class = "lineNum" > 9< / span > : namespace bayesnet {< / span >
< span id = "L10" > < span class = "lineNum" > 10< / span > : < / span >
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< span id = "L11" > < span class = "lineNum" > 11< / span > < span class = "tlaGNC tlaBgGNC" > 48 : FCBF::FCBF(const torch::Tensor& samples, const std::vector< std::string> & features, const std::string& className, const int maxFeatures, const int classNumStates, const torch::Tensor& weights, const double threshold) :< / span > < / span >
< span id = "L12" > < span class = "lineNum" > 12< / span > < span class = "tlaGNC" > 48 : FeatureSelect(samples, features, className, maxFeatures, classNumStates, weights), threshold(threshold)< / span > < / span >
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< span id = "L13" > < span class = "lineNum" > 13< / span > : {< / span >
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< span id = "L14" > < span class = "lineNum" > 14< / span > < span class = "tlaGNC" > 48 : if (threshold < 1e-7) {< / span > < / span >
< span id = "L15" > < span class = "lineNum" > 15< / span > < span class = "tlaGNC" > 14 : throw std::invalid_argument(" Threshold cannot be less than 1e-7" );< / span > < / span >
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< span id = "L16" > < span class = "lineNum" > 16< / span > : }< / span >
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< span id = "L17" > < span class = "lineNum" > 17< / span > < span class = "tlaGNC" > 48 : }< / span > < / span >
< span id = "L18" > < span class = "lineNum" > 18< / span > < span class = "tlaGNC" > 34 : void FCBF::fit()< / span > < / span >
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< span id = "L19" > < span class = "lineNum" > 19< / span > : {< / span >
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< span id = "L20" > < span class = "lineNum" > 20< / span > < span class = "tlaGNC" > 34 : initialize();< / span > < / span >
< span id = "L21" > < span class = "lineNum" > 21< / span > < span class = "tlaGNC" > 34 : computeSuLabels();< / span > < / span >
< span id = "L22" > < span class = "lineNum" > 22< / span > < span class = "tlaGNC" > 34 : auto featureOrder = argsort(suLabels); // sort descending order< / span > < / span >
< span id = "L23" > < span class = "lineNum" > 23< / span > < span class = "tlaGNC" > 34 : auto featureOrderCopy = featureOrder;< / span > < / span >
< span id = "L24" > < span class = "lineNum" > 24< / span > < span class = "tlaGNC" > 284 : for (const auto& feature : featureOrder) {< / span > < / span >
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< span id = "L25" > < span class = "lineNum" > 25< / span > : // Don't self compare< / span >
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< span id = "L26" > < span class = "lineNum" > 26< / span > < span class = "tlaGNC" > 250 : featureOrderCopy.erase(featureOrderCopy.begin());< / span > < / span >
< span id = "L27" > < span class = "lineNum" > 27< / span > < span class = "tlaGNC" > 250 : if (suLabels.at(feature) == 0.0) {< / span > < / span >
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< span id = "L28" > < span class = "lineNum" > 28< / span > : // The feature has been removed from the list< / span >
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< span id = "L29" > < span class = "lineNum" > 29< / span > < span class = "tlaGNC" > 108 : continue;< / span > < / span >
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< span id = "L30" > < span class = "lineNum" > 30< / span > : }< / span >
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< span id = "L31" > < span class = "lineNum" > 31< / span > < span class = "tlaGNC" > 142 : if (suLabels.at(feature) < threshold) {< / span > < / span >
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< span id = "L32" > < span class = "lineNum" > 32< / span > < span class = "tlaUNC tlaBgUNC" > 0 : break;< / span > < / span >
< span id = "L33" > < span class = "lineNum" > 33< / span > : }< / span >
< span id = "L34" > < span class = "lineNum" > 34< / span > : // Remove redundant features< / span >
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< span id = "L35" > < span class = "lineNum" > 35< / span > < span class = "tlaGNC tlaBgGNC" > 781 : for (const auto& featureCopy : featureOrderCopy) {< / span > < / span >
< span id = "L36" > < span class = "lineNum" > 36< / span > < span class = "tlaGNC" > 639 : double value = computeSuFeatures(feature, featureCopy);< / span > < / span >
< span id = "L37" > < span class = "lineNum" > 37< / span > < span class = "tlaGNC" > 639 : if (value > = suLabels.at(featureCopy)) {< / span > < / span >
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< span id = "L38" > < span class = "lineNum" > 38< / span > : // Remove feature from list< / span >
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< span id = "L39" > < span class = "lineNum" > 39< / span > < span class = "tlaGNC" > 221 : suLabels[featureCopy] = 0.0;< / span > < / span >
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< span id = "L40" > < span class = "lineNum" > 40< / span > : }< / span >
< span id = "L41" > < span class = "lineNum" > 41< / span > : }< / span >
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< span id = "L42" > < span class = "lineNum" > 42< / span > < span class = "tlaGNC" > 142 : selectedFeatures.push_back(feature);< / span > < / span >
< span id = "L43" > < span class = "lineNum" > 43< / span > < span class = "tlaGNC" > 142 : selectedScores.push_back(suLabels[feature]);< / span > < / span >
< span id = "L44" > < span class = "lineNum" > 44< / span > < span class = "tlaGNC" > 142 : if (selectedFeatures.size() == maxFeatures) {< / span > < / span >
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< span id = "L45" > < span class = "lineNum" > 45< / span > < span class = "tlaUNC tlaBgUNC" > 0 : break;< / span > < / span >
< span id = "L46" > < span class = "lineNum" > 46< / span > : }< / span >
< span id = "L47" > < span class = "lineNum" > 47< / span > : }< / span >
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< span id = "L48" > < span class = "lineNum" > 48< / span > < span class = "tlaGNC tlaBgGNC" > 34 : fitted = true;< / span > < / span >
< span id = "L49" > < span class = "lineNum" > 49< / span > < span class = "tlaGNC" > 34 : }< / span > < / span >
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< span id = "L50" > < span class = "lineNum" > 50< / span > : }< / span >
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< tr > < td class = "versionInfo" > Generated by: < a href = "https://github.com//linux-test-project/lcov" target = "_parent" > LCOV version 2.0-1< / a > < / td > < / tr >
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