.TH "bayesnet::Ensemble" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*- .ad l .nh .SH NAME bayesnet::Ensemble .SH SYNOPSIS .br .PP .PP Inherits \fBbayesnet::Classifier\fP\&. .PP Inherited by \fBbayesnet::A2DE\fP, \fBbayesnet::AODE\fP, \fBbayesnet::AODELd\fP, and \fBbayesnet::Boost\fP\&. .SS "Public Member Functions" .in +1c .ti -1c .RI "\fBEnsemble\fP (bool predict_voting=true)" .br .ti -1c .RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) override" .br .ti -1c .RI "std::vector< int > \fBpredict\fP (std::vector< std::vector< int > > &X) override" .br .ti -1c .RI "torch::Tensor \fBpredict_proba\fP (torch::Tensor &X) override" .br .ti -1c .RI "std::vector< std::vector< double > > \fBpredict_proba\fP (std::vector< std::vector< int > > &X) override" .br .ti -1c .RI "float \fBscore\fP (torch::Tensor &X, torch::Tensor &y) override" .br .ti -1c .RI "float \fBscore\fP (std::vector< std::vector< int > > &X, std::vector< int > &y) override" .br .ti -1c .RI "int \fBgetNumberOfNodes\fP () const override" .br .ti -1c .RI "int \fBgetNumberOfEdges\fP () const override" .br .ti -1c .RI "int \fBgetNumberOfStates\fP () const override" .br .ti -1c .RI "std::vector< std::string > \fBshow\fP () const override" .br .ti -1c .RI "std::vector< std::string > \fBgraph\fP (const std::string &title) const override" .br .ti -1c .RI "std::vector< std::string > \fBtopological_order\fP () override" .br .ti -1c .RI "std::string \fBdump_cpt\fP () const override" .br .in -1c Public Member Functions inherited from \fBbayesnet::Classifier\fP .in +1c .ti -1c .RI "\fBClassifier\fP (\fBNetwork\fP model)" .br .ti -1c .RI "\fBClassifier\fP & \fBfit\fP (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override" .br .ti -1c .RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override" .br .ti -1c .RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override" .br .ti -1c .RI "\fBClassifier\fP & \fBfit\fP (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights) override" .br .ti -1c .RI "void \fBaddNodes\fP ()" .br .ti -1c .RI "int \fBgetClassNumStates\fP () const override" .br .ti -1c .RI "status_t \fBgetStatus\fP () const override" .br .ti -1c .RI "std::string \fBgetVersion\fP () override" .br .ti -1c .RI "std::vector< std::string > \fBgetNotes\fP () const override" .br .ti -1c .RI "void \fBsetHyperparameters\fP (const nlohmann::json &hyperparameters) override" .br .in -1c Public Member Functions inherited from \fBbayesnet::BaseClassifier\fP .in +1c .ti -1c .RI "std::vector< std::string > & \fBgetValidHyperparameters\fP ()" .br .in -1c .SS "Protected Member Functions" .in +1c .ti -1c .RI "torch::Tensor \fBpredict_average_voting\fP (torch::Tensor &X)" .br .ti -1c .RI "std::vector< std::vector< double > > \fBpredict_average_voting\fP (std::vector< std::vector< int > > &X)" .br .ti -1c .RI "torch::Tensor \fBpredict_average_proba\fP (torch::Tensor &X)" .br .ti -1c .RI "std::vector< std::vector< double > > \fBpredict_average_proba\fP (std::vector< std::vector< int > > &X)" .br .ti -1c .RI "torch::Tensor \fBcompute_arg_max\fP (torch::Tensor &X)" .br .ti -1c .RI "std::vector< int > \fBcompute_arg_max\fP (std::vector< std::vector< double > > &X)" .br .ti -1c .RI "torch::Tensor \fBvoting\fP (torch::Tensor &votes)" .br .ti -1c .RI "void \fBtrainModel\fP (const torch::Tensor &weights) override" .br .in -1c Protected Member Functions inherited from \fBbayesnet::Classifier\fP .in +1c .ti -1c .RI "void \fBcheckFitParameters\fP ()" .br .ti -1c .RI "virtual void \fBbuildModel\fP (const torch::Tensor &weights)=0" .br .ti -1c .RI "void \fBbuildDataset\fP (torch::Tensor &y)" .br .in -1c .SS "Protected Attributes" .in +1c .ti -1c .RI "unsigned \fBn_models\fP" .br .ti -1c .RI "std::vector< std::unique_ptr< \fBClassifier\fP > > \fBmodels\fP" .br .ti -1c .RI "std::vector< double > \fBsignificanceModels\fP" .br .ti -1c .RI "bool \fBpredict_voting\fP" .br .in -1c Protected Attributes inherited from \fBbayesnet::Classifier\fP .in +1c .ti -1c .RI "bool \fBfitted\fP" .br .ti -1c .RI "unsigned int \fBm\fP" .br .ti -1c .RI "unsigned int \fBn\fP" .br .ti -1c .RI "\fBNetwork\fP \fBmodel\fP" .br .ti -1c .RI "Metrics \fBmetrics\fP" .br .ti -1c .RI "std::vector< std::string > \fBfeatures\fP" .br .ti -1c .RI "std::string \fBclassName\fP" .br .ti -1c .RI "std::map< std::string, std::vector< int > > \fBstates\fP" .br .ti -1c .RI "torch::Tensor \fBdataset\fP" .br .ti -1c .RI "status_t \fBstatus\fP = NORMAL" .br .ti -1c .RI "std::vector< std::string > \fBnotes\fP" .br .in -1c Protected Attributes inherited from \fBbayesnet::BaseClassifier\fP .in +1c .ti -1c .RI "std::vector< std::string > \fBvalidHyperparameters\fP" .br .in -1c .SH "Detailed Description" .PP Definition at line \fB15\fP of file \fBEnsemble\&.h\fP\&. .SH "Constructor & Destructor Documentation" .PP .SS "bayesnet::Ensemble::Ensemble (bool predict_voting = \fRtrue\fP)" .PP Definition at line \fB11\fP of file \fBEnsemble\&.cc\fP\&. .SH "Member Function Documentation" .PP .SS "std::vector< int > bayesnet::Ensemble::compute_arg_max (std::vector< std::vector< double > > & X)\fR [protected]\fP" .PP Definition at line \fB24\fP of file \fBEnsemble\&.cc\fP\&. .SS "torch::Tensor bayesnet::Ensemble::compute_arg_max (torch::Tensor & X)\fR [protected]\fP" .PP Definition at line \fB33\fP of file \fBEnsemble\&.cc\fP\&. .SS "std::string bayesnet::Ensemble::dump_cpt () const\fR [inline]\fP, \fR [override]\fP, \fR [virtual]\fP" .PP Reimplemented from \fBbayesnet::Classifier\fP\&. .PP Definition at line \fB34\fP of file \fBEnsemble\&.h\fP\&. .SS "int bayesnet::Ensemble::getNumberOfEdges () const\fR [override]\fP, \fR [virtual]\fP" .PP Reimplemented from \fBbayesnet::Classifier\fP\&. .PP Definition at line \fB206\fP of file \fBEnsemble\&.cc\fP\&. .SS "int bayesnet::Ensemble::getNumberOfNodes () const\fR [override]\fP, \fR [virtual]\fP" .PP Reimplemented from \fBbayesnet::Classifier\fP\&. .PP Definition at line \fB198\fP of file \fBEnsemble\&.cc\fP\&. .SS "int bayesnet::Ensemble::getNumberOfStates () const\fR [override]\fP, \fR [virtual]\fP" .PP Reimplemented from \fBbayesnet::Classifier\fP\&. .PP Definition at line \fB214\fP of file \fBEnsemble\&.cc\fP\&. .SS "std::vector< std::string > bayesnet::Ensemble::graph (const std::string & title) const\fR [override]\fP, \fR [virtual]\fP" .PP Implements \fBbayesnet::BaseClassifier\fP\&. .PP Definition at line \fB189\fP of file \fBEnsemble\&.cc\fP\&. .SS "std::vector< int > bayesnet::Ensemble::predict (std::vector< std::vector< int > > & X)\fR [override]\fP, \fR [virtual]\fP" .PP Reimplemented from \fBbayesnet::Classifier\fP\&. .PP Definition at line \fB74\fP of file \fBEnsemble\&.cc\fP\&. .SS "torch::Tensor bayesnet::Ensemble::predict (torch::Tensor & X)\fR [override]\fP, \fR [virtual]\fP" .PP Reimplemented from \fBbayesnet::Classifier\fP\&. .PP Definition at line \fB79\fP of file \fBEnsemble\&.cc\fP\&. .SS "std::vector< std::vector< double > > bayesnet::Ensemble::predict_average_proba (std::vector< std::vector< int > > & X)\fR [protected]\fP" .PP Definition at line \fB104\fP of file \fBEnsemble\&.cc\fP\&. .SS "torch::Tensor bayesnet::Ensemble::predict_average_proba (torch::Tensor & X)\fR [protected]\fP" .PP Definition at line \fB84\fP of file \fBEnsemble\&.cc\fP\&. .SS "std::vector< std::vector< double > > bayesnet::Ensemble::predict_average_voting (std::vector< std::vector< int > > & X)\fR [protected]\fP" .PP Definition at line \fB133\fP of file \fBEnsemble\&.cc\fP\&. .SS "torch::Tensor bayesnet::Ensemble::predict_average_voting (torch::Tensor & X)\fR [protected]\fP" .PP Definition at line \fB140\fP of file \fBEnsemble\&.cc\fP\&. .SS "std::vector< std::vector< double > > bayesnet::Ensemble::predict_proba (std::vector< std::vector< int > > & X)\fR [override]\fP, \fR [virtual]\fP" .PP Reimplemented from \fBbayesnet::Classifier\fP\&. .PP Definition at line \fB60\fP of file \fBEnsemble\&.cc\fP\&. .SS "torch::Tensor bayesnet::Ensemble::predict_proba (torch::Tensor & X)\fR [override]\fP, \fR [virtual]\fP" .PP Reimplemented from \fBbayesnet::Classifier\fP\&. .PP Definition at line \fB67\fP of file \fBEnsemble\&.cc\fP\&. .SS "float bayesnet::Ensemble::score (std::vector< std::vector< int > > & X, std::vector< int > & y)\fR [override]\fP, \fR [virtual]\fP" .PP Reimplemented from \fBbayesnet::Classifier\fP\&. .PP Definition at line \fB169\fP of file \fBEnsemble\&.cc\fP\&. .SS "float bayesnet::Ensemble::score (torch::Tensor & X, torch::Tensor & y)\fR [override]\fP, \fR [virtual]\fP" .PP Reimplemented from \fBbayesnet::Classifier\fP\&. .PP Definition at line \fB158\fP of file \fBEnsemble\&.cc\fP\&. .SS "std::vector< std::string > bayesnet::Ensemble::show () const\fR [override]\fP, \fR [virtual]\fP" .PP Reimplemented from \fBbayesnet::Classifier\fP\&. .PP Definition at line \fB180\fP of file \fBEnsemble\&.cc\fP\&. .SS "std::vector< std::string > bayesnet::Ensemble::topological_order ()\fR [inline]\fP, \fR [override]\fP, \fR [virtual]\fP" .PP Reimplemented from \fBbayesnet::Classifier\fP\&. .PP Definition at line \fB30\fP of file \fBEnsemble\&.h\fP\&. .SS "void bayesnet::Ensemble::trainModel (const torch::Tensor & weights)\fR [override]\fP, \fR [protected]\fP, \fR [virtual]\fP" .PP Reimplemented from \fBbayesnet::Classifier\fP\&. .PP Definition at line \fB16\fP of file \fBEnsemble\&.cc\fP\&. .SS "torch::Tensor bayesnet::Ensemble::voting (torch::Tensor & votes)\fR [protected]\fP" .PP Definition at line \fB38\fP of file \fBEnsemble\&.cc\fP\&. .SH "Member Data Documentation" .PP .SS "std::vector > bayesnet::Ensemble::models\fR [protected]\fP" .PP Definition at line \fB47\fP of file \fBEnsemble\&.h\fP\&. .SS "unsigned bayesnet::Ensemble::n_models\fR [protected]\fP" .PP Definition at line \fB46\fP of file \fBEnsemble\&.h\fP\&. .SS "bool bayesnet::Ensemble::predict_voting\fR [protected]\fP" .PP Definition at line \fB50\fP of file \fBEnsemble\&.h\fP\&. .SS "std::vector bayesnet::Ensemble::significanceModels\fR [protected]\fP" .PP Definition at line \fB48\fP of file \fBEnsemble\&.h\fP\&. .SH "Author" .PP Generated automatically by Doxygen for BayesNet from the source code\&.