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BayesNet 1.0.5
Bayesian Network Classifiers using libtorch from scratch
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Public Member Functions | Protected Member Functions | List of all members
bayesnet::A2DE Class Reference
Inheritance diagram for bayesnet::A2DE:
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Collaboration diagram for bayesnet::A2DE:
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Public Member Functions

 A2DE (bool predict_voting=false)
 
void setHyperparameters (const nlohmann::json &hyperparameters) override
 
std::vector< std::string > graph (const std::string &title="A2DE") const override
 
- Public Member Functions inherited from bayesnet::Ensemble
 Ensemble (bool predict_voting=true)
 
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
 
float score (torch::Tensor &X, torch::Tensor &y) override
 
float score (std::vector< std::vector< int > > &X, std::vector< int > &y) override
 
int getNumberOfNodes () const override
 
int getNumberOfEdges () const override
 
int getNumberOfStates () const override
 
std::vector< std::string > show () const override
 
std::vector< std::string > graph (const std::string &title) const override
 
std::vector< std::string > topological_order () override
 
std::string dump_cpt () const override
 
- Public Member Functions inherited from bayesnet::Classifier
 Classifier (Network model)
 
Classifier & fit (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
 
Classifier & fit (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
 
Classifier & fit (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states) override
 
Classifier & fit (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 getClassNumStates () const override
 
status_t getStatus () const override
 
std::string getVersion () override
 
std::vector< std::string > getNotes () 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::Ensemble
torch::Tensor predict_average_voting (torch::Tensor &X)
 
std::vector< std::vector< double > > predict_average_voting (std::vector< std::vector< int > > &X)
 
torch::Tensor predict_average_proba (torch::Tensor &X)
 
std::vector< std::vector< double > > predict_average_proba (std::vector< std::vector< int > > &X)
 
torch::Tensor compute_arg_max (torch::Tensor &X)
 
std::vector< int > compute_arg_max (std::vector< std::vector< double > > &X)
 
torch::Tensor voting (torch::Tensor &votes)
 
void trainModel (const torch::Tensor &weights) override
 
- Protected Member Functions inherited from bayesnet::Classifier
void checkFitParameters ()
 
void buildDataset (torch::Tensor &y)
 

Additional Inherited Members

- Protected Attributes inherited from bayesnet::Ensemble
unsigned n_models
 
std::vector< std::unique_ptr< Classifier > > models
 
std::vector< double > significanceModels
 
bool predict_voting
 
- 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 12 of file A2DE.h.

Constructor & Destructor Documentation

◆ A2DE()

bayesnet::A2DE::A2DE ( bool predict_voting = false)

Definition at line 10 of file A2DE.cc.

◆ ~A2DE()

virtual bayesnet::A2DE::~A2DE ( )
inlinevirtual

Definition at line 15 of file A2DE.h.

Member Function Documentation

◆ buildModel()

void bayesnet::A2DE::buildModel ( const torch::Tensor & weights)
overrideprotectedvirtual

Implements bayesnet::Classifier.

Definition at line 23 of file A2DE.cc.

◆ graph()

std::vector< std::string > bayesnet::A2DE::graph ( const std::string & title = "A2DE") const
overridevirtual

Implements bayesnet::BaseClassifier.

Definition at line 36 of file A2DE.cc.

◆ setHyperparameters()

void bayesnet::A2DE::setHyperparameters ( const nlohmann::json & hyperparameters)
overridevirtual

Implements bayesnet::BaseClassifier.

Definition at line 14 of file A2DE.cc.

The documentation for this class was generated from the following files:
  • /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/A2DE.h
  • /Users/rmontanana/Code/BayesNet/bayesnet/ensembles/A2DE.cc
  • bayesnet
  • A2DE
  • Generated by doxygen 1.11.0
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