245 lines
6.5 KiB
Groff
245 lines
6.5 KiB
Groff
.TH "bayesnet::TANLd" 3 "Version 1.0.5" "BayesNet" \" -*- nroff -*-
|
|
.ad l
|
|
.nh
|
|
.SH NAME
|
|
bayesnet::TANLd
|
|
.SH SYNOPSIS
|
|
.br
|
|
.PP
|
|
.PP
|
|
Inherits \fBbayesnet::TAN\fP, and \fBbayesnet::Proposal\fP\&.
|
|
.SS "Public Member Functions"
|
|
|
|
.in +1c
|
|
.ti -1c
|
|
.RI "\fBTANLd\fP & \fBfit\fP (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, map< std::string, std::vector< int > > &states) override"
|
|
.br
|
|
.ti -1c
|
|
.RI "std::vector< std::string > \fBgraph\fP (const std::string &name='TAN') const override"
|
|
.br
|
|
.ti -1c
|
|
.RI "torch::Tensor \fBpredict\fP (torch::Tensor &X) 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 \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 "int \fBgetClassNumStates\fP () const 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 "status_t \fBgetStatus\fP () const override"
|
|
.br
|
|
.ti -1c
|
|
.RI "std::string \fBgetVersion\fP () 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 "std::vector< std::string > \fBshow\fP () const override"
|
|
.br
|
|
.ti -1c
|
|
.RI "std::vector< std::string > \fBtopological_order\fP () override"
|
|
.br
|
|
.ti -1c
|
|
.RI "std::vector< std::string > \fBgetNotes\fP () const override"
|
|
.br
|
|
.ti -1c
|
|
.RI "std::string \fBdump_cpt\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
|
|
|
|
Public Member Functions inherited from \fBbayesnet::Proposal\fP
|
|
.in +1c
|
|
.ti -1c
|
|
.RI "\fBProposal\fP (torch::Tensor &pDataset, std::vector< std::string > &features_, std::string &className_)"
|
|
.br
|
|
.in -1c
|
|
.SS "Static Public Member Functions"
|
|
|
|
.in +1c
|
|
.ti -1c
|
|
.RI "static std::string \fBversion\fP ()"
|
|
.br
|
|
.in -1c
|
|
.SS "Additional Inherited Members"
|
|
|
|
|
|
Protected Member Functions inherited from \fBbayesnet::TAN\fP
|
|
.in +1c
|
|
.ti -1c
|
|
.RI "void \fBbuildModel\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 "void \fBtrainModel\fP (const torch::Tensor &weights) override"
|
|
.br
|
|
.ti -1c
|
|
.RI "void \fBbuildDataset\fP (torch::Tensor &y)"
|
|
.br
|
|
.in -1c
|
|
|
|
Protected Member Functions inherited from \fBbayesnet::Proposal\fP
|
|
.in +1c
|
|
.ti -1c
|
|
.RI "void \fBcheckInput\fP (const torch::Tensor &X, const torch::Tensor &y)"
|
|
.br
|
|
.ti -1c
|
|
.RI "torch::Tensor \fBprepareX\fP (torch::Tensor &X)"
|
|
.br
|
|
.ti -1c
|
|
.RI "map< std::string, std::vector< int > > \fBlocalDiscretizationProposal\fP (const map< std::string, std::vector< int > > &states, \fBNetwork\fP &model)"
|
|
.br
|
|
.ti -1c
|
|
.RI "map< std::string, std::vector< int > > \fBfit_local_discretization\fP (const torch::Tensor &y)"
|
|
.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
|
|
|
|
Protected Attributes inherited from \fBbayesnet::Proposal\fP
|
|
.in +1c
|
|
.ti -1c
|
|
.RI "torch::Tensor \fBXf\fP"
|
|
.br
|
|
.ti -1c
|
|
.RI "torch::Tensor \fBy\fP"
|
|
.br
|
|
.ti -1c
|
|
.RI "map< std::string, mdlp::CPPFImdlp * > \fBdiscretizers\fP"
|
|
.br
|
|
.in -1c
|
|
.SH "Detailed Description"
|
|
.PP
|
|
Definition at line \fB13\fP of file \fBTANLd\&.h\fP\&.
|
|
.SH "Constructor & Destructor Documentation"
|
|
.PP
|
|
.SS "bayesnet::TANLd::TANLd ()"
|
|
|
|
.PP
|
|
Definition at line \fB10\fP of file \fBTANLd\&.cc\fP\&.
|
|
.SH "Member Function Documentation"
|
|
.PP
|
|
.SS "\fBTANLd\fP & bayesnet::TANLd::fit (torch::Tensor & X, torch::Tensor & y, const std::vector< std::string > & features, const std::string & className, map< std::string, std::vector< int > > & states)\fR [override]\fP"
|
|
|
|
.PP
|
|
Definition at line \fB11\fP of file \fBTANLd\&.cc\fP\&.
|
|
.SS "std::vector< std::string > bayesnet::TANLd::graph (const std::string & name = \fR'TAN'\fP) const\fR [override]\fP, \fR [virtual]\fP"
|
|
|
|
.PP
|
|
Reimplemented from \fBbayesnet::TAN\fP\&.
|
|
.PP
|
|
Definition at line \fB32\fP of file \fBTANLd\&.cc\fP\&.
|
|
.SS "torch::Tensor bayesnet::TANLd::predict (torch::Tensor & X)\fR [override]\fP, \fR [virtual]\fP"
|
|
|
|
.PP
|
|
Reimplemented from \fBbayesnet::Classifier\fP\&.
|
|
.PP
|
|
Definition at line \fB27\fP of file \fBTANLd\&.cc\fP\&.
|
|
.SS "static std::string bayesnet::TANLd::version ()\fR [inline]\fP, \fR [static]\fP"
|
|
|
|
.PP
|
|
Definition at line \fB21\fP of file \fBTANLd\&.h\fP\&.
|
|
|
|
.SH "Author"
|
|
.PP
|
|
Generated automatically by Doxygen for BayesNet from the source code\&.
|