Files
BayesNet/docs/manual/classbayesnet_1_1_t_a_n.html

36 KiB

<html xmlns="http://www.w3.org/1999/xhtml" lang="en-US"> <head> <script type="text/javascript" src="jquery.js"></script> <script type="text/javascript" src="dynsections.js"></script> <script type="text/javascript" src="clipboard.js"></script> <script type="text/javascript" src="navtreedata.js"></script> <script type="text/javascript" src="navtree.js"></script> <script type="text/javascript" src="resize.js"></script> <script type="text/javascript" src="cookie.js"></script> <script type="text/javascript" src="search/searchdata.js"></script> <script type="text/javascript" src="search/search.js"></script> </head>
BayesNet 1.0.5
Bayesian Network Classifiers using libtorch from scratch
<script type="text/javascript"> /* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&dn=expat.txt MIT */ var searchBox = new SearchBox("searchBox", "search/",'.html'); /* @license-end */ </script> <script type="text/javascript"> /* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&dn=expat.txt MIT */ $(function() { codefold.init(0); }); /* @license-end */ </script> <script type="text/javascript" src="menudata.js"></script> <script type="text/javascript" src="menu.js"></script> <script type="text/javascript"> /* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&dn=expat.txt MIT */ $(function() { initMenu('',true,false,'search.php','Search',true); $(function() { init_search(); }); }); /* @license-end */ </script>
<script type="text/javascript"> /* @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699&dn=expat.txt MIT */ $(function(){initNavTree('classbayesnet_1_1_t_a_n.html',''); initResizable(true); }); /* @license-end */ </script>
Loading...
Searching...
No Matches
Inheritance diagram for bayesnet::TAN:
Collaboration diagram for bayesnet::TAN:

Public Member Functions

std::vector< std::string > graph (const std::string &name="TAN") const override
 
- Public Member Functions inherited from bayesnet::Classifier
 Classifier (Network model)
 
Classifierfit (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
 
Classifierfit (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
 
Classifierfit (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override
 
Classifierfit (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
 
void addNodes ()
 
int getNumberOfNodes () const override
 
int getNumberOfEdges () const override
 
int getNumberOfStates () const override
 
int getClassNumStates () const override
 
torch::Tensor predict (torch::Tensor &X) override
 
std::vector< int > predict (std::vector< std::vector< int > > &X) override
 
torch::Tensor predict_proba (torch::Tensor &X) override
 
std::vector< std::vector< double > > predict_proba (std::vector< std::vector< int > > &X) override
 
status_t getStatus () const override
 
std::string getVersion () override
 
float score (torch::Tensor &X, torch::Tensor &y) override
 
float score (std::vector< std::vector< int > > &X, std::vector< int > &y) override
 
std::vector< std::string > show () const override
 
std::vector< std::string > topological_order () override
 
std::vector< std::string > getNotes () const override
 
std::string dump_cpt () const override
 
void setHyperparameters (const nlohmann::json &hyperparameters) override
 
- Public Member Functions inherited from bayesnet::BaseClassifier
std::vector< std::string > & getValidHyperparameters ()
 

Protected Member Functions

void buildModel (const torch::Tensor &weights) override
 
- Protected Member Functions inherited from bayesnet::Classifier
void checkFitParameters ()
 
void trainModel (const torch::Tensor &weights) override
 
void buildDataset (torch::Tensor &y)
 

Additional Inherited Members

- Protected Attributes inherited from bayesnet::Classifier
bool fitted
 
unsigned int m
 
unsigned int n
 
Network model
 
Metrics metrics
 
std::vector< std::string > features
 
std::string className
 
std::map< std::string, std::vector< int > > states
 
torch::Tensor dataset
 
status_t status = NORMAL
 
std::vector< std::string > notes
 
- Protected Attributes inherited from bayesnet::BaseClassifier
std::vector< std::string > validHyperparameters
 

Detailed Description

Definition at line 11 of file TAN.h.

Constructor & Destructor Documentation

◆ TAN()

bayesnet::TAN::TAN ( )

Definition at line 10 of file TAN.cc.

Member Function Documentation

◆ buildModel()

void bayesnet::TAN::buildModel ( const torch::Tensor & weights)
overrideprotectedvirtual

Implements bayesnet::Classifier.

Definition at line 12 of file TAN.cc.

◆ graph()

std::vector< std::string > bayesnet::TAN::graph ( const std::string & name = "TAN") const
overridevirtual

Implements bayesnet::BaseClassifier.

Definition at line 41 of file TAN.cc.


The documentation for this class was generated from the following files:
  • /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/TAN.h
  • /Users/rmontanana/Code/BayesNet/bayesnet/classifiers/TAN.cc
</html>