15 KiB
15 KiB
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BayesNet 1.0.5
Bayesian Network Classifiers using libtorch from scratch
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bayesnet::BaseClassifier Member List
This is the complete list of members for bayesnet::BaseClassifier, including all inherited members.
| dump_cpt() const =0 (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | pure virtual |
| 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)=0 (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | pure virtual |
| 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)=0 (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | pure virtual |
| fit(torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states)=0 (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | pure virtual |
| 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)=0 (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | pure virtual |
| getClassNumStates() const =0 (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | pure virtual |
| getNotes() const =0 (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | pure virtual |
| getNumberOfEdges() const =0 (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | pure virtual |
| getNumberOfNodes() const =0 (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | pure virtual |
| getNumberOfStates() const =0 (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | pure virtual |
| getStatus() const =0 (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | pure virtual |
| getValidHyperparameters() (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | inline |
| getVersion()=0 (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | pure virtual |
| graph(const std::string &title="") const =0 (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | pure virtual |
| predict(torch::Tensor &X)=0 (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | pure virtual |
| predict(std::vector< std::vector< int > > &X)=0 (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | pure virtual |
| predict_proba(torch::Tensor &X)=0 (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | pure virtual |
| predict_proba(std::vector< std::vector< int > > &X)=0 (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | pure virtual |
| score(std::vector< std::vector< int > > &X, std::vector< int > &y)=0 (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | pure virtual |
| score(torch::Tensor &X, torch::Tensor &y)=0 (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | pure virtual |
| setHyperparameters(const nlohmann::json &hyperparameters)=0 (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | pure virtual |
| show() const =0 (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | pure virtual |
| topological_order()=0 (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | pure virtual |
| trainModel(const torch::Tensor &weights)=0 (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | protectedpure virtual |
| validHyperparameters (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | protected |
| ~BaseClassifier()=default (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | virtual |
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