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BayesNet 1.0.7.
Bayesian Network and basic classifiers Library.
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BayesNet 1.0.7.
Bayesian Network and basic classifiers Library.
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This is the complete list of members for bayesnet::XSpode, including all inherited members.
| addNodes() (defined in bayesnet::Classifier) | bayesnet::Classifier | |
| buildDataset(torch::Tensor &y) (defined in bayesnet::Classifier) | bayesnet::Classifier | protected |
| buildModel(const torch::Tensor &weights) override (defined in bayesnet::XSpode) | bayesnet::XSpode | protectedvirtual |
| checkFitParameters() (defined in bayesnet::Classifier) | bayesnet::Classifier | protected |
| Classifier(Network model) (defined in bayesnet::Classifier) | bayesnet::Classifier | |
| CLASSIFIER_NOT_FITTED (defined in bayesnet::Classifier) | bayesnet::Classifier | protected |
| className (defined in bayesnet::Classifier) | bayesnet::Classifier | protected |
| dataset (defined in bayesnet::Classifier) | bayesnet::Classifier | protected |
| dump_cpt() const override (defined in bayesnet::Classifier) | bayesnet::Classifier | virtual |
| features (defined in bayesnet::Classifier) | bayesnet::Classifier | protected |
| 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, const Smoothing_t smoothing) override (defined in bayesnet::Classifier) | bayesnet::Classifier | 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, const Smoothing_t smoothing) override (defined in bayesnet::Classifier) | bayesnet::Classifier | virtual |
| fit(torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const Smoothing_t smoothing) override (defined in bayesnet::Classifier) | bayesnet::Classifier | 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, const Smoothing_t smoothing) override (defined in bayesnet::Classifier) | bayesnet::Classifier | virtual |
| fitted (defined in bayesnet::Classifier) | bayesnet::Classifier | protected |
| fitx(torch::Tensor &X, torch::Tensor &y, torch::Tensor &weights_, const Smoothing_t smoothing) (defined in bayesnet::XSpode) | bayesnet::XSpode | |
| getClassNumStates() const override (defined in bayesnet::XSpode) | bayesnet::XSpode | virtual |
| getNFeatures() const (defined in bayesnet::XSpode) | bayesnet::XSpode | |
| getNotes() const override (defined in bayesnet::Classifier) | bayesnet::Classifier | inlinevirtual |
| getNumberOfEdges() const override (defined in bayesnet::XSpode) | bayesnet::XSpode | virtual |
| getNumberOfNodes() const override (defined in bayesnet::XSpode) | bayesnet::XSpode | virtual |
| getNumberOfStates() const override (defined in bayesnet::XSpode) | bayesnet::XSpode | virtual |
| getStates() (defined in bayesnet::XSpode) | bayesnet::XSpode | |
| getStatus() const override (defined in bayesnet::Classifier) | bayesnet::Classifier | inlinevirtual |
| getValidHyperparameters() (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | inline |
| getVersion() override (defined in bayesnet::Classifier) | bayesnet::Classifier | inlinevirtual |
| graph(const std::string &title) const override (defined in bayesnet::XSpode) | bayesnet::XSpode | inlinevirtual |
| m (defined in bayesnet::Classifier) | bayesnet::Classifier | protected |
| metrics (defined in bayesnet::Classifier) | bayesnet::Classifier | protected |
| model (defined in bayesnet::Classifier) | bayesnet::Classifier | protected |
| n (defined in bayesnet::Classifier) | bayesnet::Classifier | protected |
| normalize(std::vector< double > &v) const (defined in bayesnet::XSpode) | bayesnet::XSpode | |
| notes (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | protected |
| predict(const std::vector< int > &instance) const (defined in bayesnet::XSpode) | bayesnet::XSpode | |
| predict(torch::Tensor &X) override (defined in bayesnet::XSpode) | bayesnet::XSpode | virtual |
| predict(std::vector< std::vector< int > > &X) override (defined in bayesnet::XSpode) | bayesnet::XSpode | virtual |
| predict_proba(const std::vector< int > &instance) const (defined in bayesnet::XSpode) | bayesnet::XSpode | |
| predict_proba(std::vector< std::vector< int > > &X) override (defined in bayesnet::XSpode) | bayesnet::XSpode | virtual |
| predict_proba(torch::Tensor &X) override (defined in bayesnet::XSpode) | bayesnet::XSpode | virtual |
| score(torch::Tensor &X, torch::Tensor &y) override (defined in bayesnet::XSpode) | bayesnet::XSpode | virtual |
| score(std::vector< std::vector< int > > &X, std::vector< int > &y) override (defined in bayesnet::XSpode) | bayesnet::XSpode | virtual |
| setHyperparameters(const nlohmann::json &hyperparameters_) override (defined in bayesnet::XSpode) | bayesnet::XSpode | virtual |
| show() const override (defined in bayesnet::Classifier) | bayesnet::Classifier | virtual |
| states (defined in bayesnet::Classifier) | bayesnet::Classifier | protected |
| status (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | protected |
| to_string() const (defined in bayesnet::XSpode) | bayesnet::XSpode | |
| topological_order() override (defined in bayesnet::Classifier) | bayesnet::Classifier | virtual |
| trainModel(const torch::Tensor &weights, const bayesnet::Smoothing_t smoothing) override (defined in bayesnet::XSpode) | bayesnet::XSpode | protectedvirtual |
| validHyperparameters (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | protected |
| XSpode(int spIndex) (defined in bayesnet::XSpode) | bayesnet::XSpode | explicit |
| ~BaseClassifier()=default (defined in bayesnet::BaseClassifier) | bayesnet::BaseClassifier | virtual |
| ~Classifier()=default (defined in bayesnet::Classifier) | bayesnet::Classifier | virtual |
1.12.0