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| Proposal (torch::Tensor &pDataset, std::vector< std::string > &features_, std::string &className_) |
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torch::Tensor | Xf |
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torch::Tensor | y |
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map< std::string, mdlp::CPPFImdlp * > | discretizers |
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Definition at line 17 of file Proposal.h.
◆ Proposal()
bayesnet::Proposal::Proposal |
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torch::Tensor & | pDataset, |
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std::vector< std::string > & | features_, |
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std::string & | className_ ) |
◆ ~Proposal()
bayesnet::Proposal::~Proposal |
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◆ checkInput()
void bayesnet::Proposal::checkInput |
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const torch::Tensor & | X, |
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const torch::Tensor & | y ) |
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◆ fit_local_discretization()
map< std::string, std::vector< int > > bayesnet::Proposal::fit_local_discretization |
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const torch::Tensor & | y | ) |
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◆ localDiscretizationProposal()
map< std::string, std::vector< int > > bayesnet::Proposal::localDiscretizationProposal |
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const map< std::string, std::vector< int > > & | states, |
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Network & | model ) |
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◆ prepareX()
torch::Tensor bayesnet::Proposal::prepareX |
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torch::Tensor & | X | ) |
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◆ discretizers
map<std::string, mdlp::CPPFImdlp*> bayesnet::Proposal::discretizers |
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◆ Xf
torch::Tensor bayesnet::Proposal::Xf |
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torch::Tensor bayesnet::Proposal::y |
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The documentation for this class was generated from the following files:
- /home/rmontanana/Code/BayesNet/bayesnet/classifiers/Proposal.h
- /home/rmontanana/Code/BayesNet/bayesnet/classifiers/Proposal.cc