2024-04-21 14:44:35 +00:00
<!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/ensembles/BoostAODE.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/ensembles< / a > - BoostAODE.h< span style = "font-size: 80%;" > (source / < a href = "BoostAODE.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 %< / td >
< td class = "headerCovTableEntry" > 1< / td >
< td class = "headerCovTableEntry" > 1< / td >
< / tr >
< tr >
< td class = "headerItem" > Test Date:< / td >
2024-04-30 12:00:24 +00:00
< td class = "headerValue" > 2024-04-30 13:59:18< / td >
2024-04-21 14:44:35 +00:00
< td > < / td >
< td class = "headerItem" > Functions:< / td >
< td class = "headerCovTableEntryHi" > 100.0 %< / td >
2024-04-30 12:00:24 +00:00
< td class = "headerCovTableEntry" > 1< / td >
< td class = "headerCovTableEntry" > 1< / td >
2024-04-21 14:44:35 +00:00
< / tr >
< tr > < td > < img src = "../../glass.png" width = 3 height = 3 alt = "" > < / td > < / tr >
< / table >
< / td >
< / tr >
< tr > < td class = "ruler" > < img src = "../../glass.png" width = 3 height = 3 alt = "" > < / td > < / tr >
< / table >
< table cellpadding = 0 cellspacing = 0 border = 0 >
< tr >
< td > < br > < / td >
< / tr >
< tr >
< td >
< pre class = "sourceHeading" > Line data Source code< / pre >
< pre class = "source" >
< span id = "L1" > < span class = "lineNum" > 1< / span > : // ***************************************************************< / span >
< span id = "L2" > < span class = "lineNum" > 2< / span > : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez< / span >
< span id = "L3" > < span class = "lineNum" > 3< / span > : // SPDX-FileType: SOURCE< / span >
< span id = "L4" > < span class = "lineNum" > 4< / span > : // SPDX-License-Identifier: MIT< / span >
< span id = "L5" > < span class = "lineNum" > 5< / span > : // ***************************************************************< / span >
< span id = "L6" > < span class = "lineNum" > 6< / span > : < / span >
< span id = "L7" > < span class = "lineNum" > 7< / span > : #ifndef BOOSTAODE_H< / span >
< span id = "L8" > < span class = "lineNum" > 8< / span > : #define BOOSTAODE_H< / span >
< span id = "L9" > < span class = "lineNum" > 9< / span > : #include < map> < / span >
< span id = "L10" > < span class = "lineNum" > 10< / span > : #include " bayesnet/classifiers/SPODE.h" < / span >
< span id = "L11" > < span class = "lineNum" > 11< / span > : #include " bayesnet/feature_selection/FeatureSelect.h" < / span >
< span id = "L12" > < span class = "lineNum" > 12< / span > : #include " Ensemble.h" < / span >
< span id = "L13" > < span class = "lineNum" > 13< / span > : namespace bayesnet {< / span >
2024-04-30 12:00:24 +00:00
< span id = "L14" > < span class = "lineNum" > 14< / span > : const struct {< / span >
2024-04-21 14:44:35 +00:00
< span id = "L15" > < span class = "lineNum" > 15< / span > : std::string CFS = " CFS" ;< / span >
< span id = "L16" > < span class = "lineNum" > 16< / span > : std::string FCBF = " FCBF" ;< / span >
< span id = "L17" > < span class = "lineNum" > 17< / span > : std::string IWSS = " IWSS" ;< / span >
< span id = "L18" > < span class = "lineNum" > 18< / span > : }SelectFeatures;< / span >
2024-04-30 12:00:24 +00:00
< span id = "L19" > < span class = "lineNum" > 19< / span > : const struct {< / span >
2024-04-21 14:44:35 +00:00
< span id = "L20" > < span class = "lineNum" > 20< / span > : std::string ASC = " asc" ;< / span >
< span id = "L21" > < span class = "lineNum" > 21< / span > : std::string DESC = " desc" ;< / span >
< span id = "L22" > < span class = "lineNum" > 22< / span > : std::string RAND = " rand" ;< / span >
< span id = "L23" > < span class = "lineNum" > 23< / span > : }Orders;< / span >
< span id = "L24" > < span class = "lineNum" > 24< / span > : class BoostAODE : public Ensemble {< / span >
< span id = "L25" > < span class = "lineNum" > 25< / span > : public:< / span >
2024-04-30 12:00:24 +00:00
< span id = "L26" > < span class = "lineNum" > 26< / span > : explicit BoostAODE(bool predict_voting = false);< / span >
< span id = "L27" > < span class = "lineNum" > 27< / span > < span class = "tlaGNC tlaBgGNC" > 132 : virtual ~BoostAODE() = default;< / span > < / span >
2024-04-21 14:44:35 +00:00
< span id = "L28" > < span class = "lineNum" > 28< / span > : std::vector< std::string> graph(const std::string& title = " BoostAODE" ) const override;< / span >
< span id = "L29" > < span class = "lineNum" > 29< / span > : void setHyperparameters(const nlohmann::json& hyperparameters_) override;< / span >
< span id = "L30" > < span class = "lineNum" > 30< / span > : protected:< / span >
< span id = "L31" > < span class = "lineNum" > 31< / span > : void buildModel(const torch::Tensor& weights) override;< / span >
< span id = "L32" > < span class = "lineNum" > 32< / span > : void trainModel(const torch::Tensor& weights) override;< / span >
< span id = "L33" > < span class = "lineNum" > 33< / span > : private:< / span >
< span id = "L34" > < span class = "lineNum" > 34< / span > : std::tuple< torch::Tensor& , double, bool> update_weights_block(int k, torch::Tensor& ytrain, torch::Tensor& weights);< / span >
< span id = "L35" > < span class = "lineNum" > 35< / span > : std::vector< int> initializeModels();< / span >
< span id = "L36" > < span class = "lineNum" > 36< / span > : torch::Tensor X_train, y_train, X_test, y_test;< / span >
< span id = "L37" > < span class = "lineNum" > 37< / span > : // Hyperparameters< / span >
< span id = "L38" > < span class = "lineNum" > 38< / span > : bool bisection = true; // if true, use bisection stratety to add k models at once to the ensemble< / span >
< span id = "L39" > < span class = "lineNum" > 39< / span > : int maxTolerance = 3;< / span >
< span id = "L40" > < span class = "lineNum" > 40< / span > : std::string order_algorithm; // order to process the KBest features asc, desc, rand< / span >
< span id = "L41" > < span class = "lineNum" > 41< / span > : bool convergence = true; //if true, stop when the model does not improve< / span >
2024-04-29 22:52:09 +00:00
< span id = "L42" > < span class = "lineNum" > 42< / span > : bool convergence_best = false; // wether to keep the best accuracy to the moment or the last accuracy as prior accuracy< / span >
< span id = "L43" > < span class = "lineNum" > 43< / span > : bool selectFeatures = false; // if true, use feature selection< / span >
< span id = "L44" > < span class = "lineNum" > 44< / span > : std::string select_features_algorithm = Orders.DESC; // Selected feature selection algorithm< / span >
< span id = "L45" > < span class = "lineNum" > 45< / span > : FeatureSelect* featureSelector = nullptr;< / span >
< span id = "L46" > < span class = "lineNum" > 46< / span > : double threshold = -1;< / span >
< span id = "L47" > < span class = "lineNum" > 47< / span > : bool block_update = false;< / span >
< span id = "L48" > < span class = "lineNum" > 48< / span > : };< / span >
< span id = "L49" > < span class = "lineNum" > 49< / span > : }< / span >
< span id = "L50" > < span class = "lineNum" > 50< / span > : #endif< / span >
2024-04-21 14:44:35 +00:00
< / pre >
< / td >
< / tr >
< / table >
< br >
< table width = "100%" border = 0 cellspacing = 0 cellpadding = 0 >
< tr > < td class = "ruler" > < img src = "../../glass.png" width = 3 height = 3 alt = "" > < / td > < / tr >
< tr > < td class = "versionInfo" > Generated by: < a href = "https://github.com//linux-test-project/lcov" target = "_parent" > LCOV version 2.0-1< / a > < / td > < / tr >
< / table >
< br >
< / body >
< / html >
