Here is a list of all documented functions with links to the class documentation for each member:

A

B

C

D

E

F

G

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J

K

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- c -

• Candidate_Evaluator_Threaded() : FST::Candidate_Evaluator_Threaded< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• check_validity() : FST::Data_Intervaller< CONTAINER, IDXTYPE >
• Classifier_Extern() : FST::Classifier_Extern< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• Classifier_kNN() : FST::Classifier_kNN< RETURNTYPE, DATATYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR, DISTANCE >
• Classifier_LDA() : FST::Classifier_LDA< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• Classifier_LIBSVM() : FST::Classifier_LIBSVM< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• Classifier_Multinomial_NaiveBayes() : FST::Classifier_Multinomial_NaiveBayes< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• Classifier_Normal_Bayes() : FST::Classifier_Normal_Bayes< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• classify() : FST::Classifier< RETURNTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_Extern< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_kNN< RETURNTYPE, DATATYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR, DISTANCE >, FST::Classifier_LDA< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_LIBSVM< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_Linear_SVM< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_Logistic_Regression< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_Multinomial_NaiveBayes< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_Normal_Bayes< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_Random_Forest< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_RBF_SVM< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• classify_scores() : FST::Classifier< RETURNTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_kNN< RETURNTYPE, DATATYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR, DISTANCE >, FST::Classifier_LDA< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_LIBSVM< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_Linear_SVM< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_Logistic_Regression< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_Multinomial_NaiveBayes< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_Normal_Bayes< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_Random_Forest< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_RBF_SVM< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• cleanup() : FST::Classifier_LIBSVM< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• clear() : FST::Result_Tracker< RETURNTYPE, SUBSET >, FST::Result_Tracker_Dupless< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >, FST::Result_Tracker_Stability_Evaluator< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• clone() : FST::Classifier< RETURNTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Clonable, FST::Clonable_Impl< Derived, Base, DEEP_KIND, SHARING_KIND, STATELESS_KIND >, FST::Criterion< RETURNTYPE, SUBSET >, FST::Data_Accessor< DATATYPE, IDXTYPE >, FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >, FST::Data_Splitter< INTERVALCONTAINER, IDXTYPE >, FST::Distance< DATATYPE, DIMTYPE, SUBSET >, FST::Regressor< RETURNTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Result_Tracker< RETURNTYPE, SUBSET >
• close() : FST::Data_File_TRN< DATATYPE, IDXTYPE >
• code() : FST::fst_error
• collect() : FST::Candidate_Evaluator< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Candidate_Evaluator_Sequential< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Candidate_Evaluator_Threaded< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• collect_neighbours() : FST::Classifier_kNN< RETURNTYPE, DATATYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR, DISTANCE >
• collect_predictions() : FST::Regressor_Ridge< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• compute_IB() : FST::Model_Multinomial< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• compute_MI() : FST::Model_Multinomial< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• compute_Nsuminclass() : FST::Model_Multinomial< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• compute_pair_stats() : FST::Result_Tracker_Feature_Stats< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• compute_stats() : FST::Result_Tracker_Feature_Stats< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• compute_theta() : FST::Model_Multinomial< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• copy_constmul_raw() : FST::Indexed_Matrix< DATATYPE, DIMTYPE, SUBSET >
• copy_raw() : FST::Indexed_Matrix< DATATYPE, DIMTYPE, SUBSET >, FST::Indexed_Vector< DATATYPE, DIMTYPE, SUBSET >
• count_is() : FST::Result_Weighter_Sampled< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• count_isnot() : FST::Result_Weighter_Sampled< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• createAttribute() : FST::Data_File_ARFF
• Criterion_Counting() : fst4_cli::Criterion_Counting
• Criterion_Extern_Value() : FST::Criterion_Extern_Value< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• Criterion_Multinomial() : FST::Criterion_Multinomial< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• Criterion_Multinomial_Bhattacharyya() : FST::Criterion_Multinomial_Bhattacharyya< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• Criterion_Multinomial_MI() : FST::Criterion_Multinomial_MI< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• criterion_name() : FST::Criterion_Normal< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Criterion_Normal_Bhattacharyya< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Criterion_Normal_Divergence< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Criterion_Normal_GMahalanobis< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• Criterion_Negative() : FST::Criterion_Negative< CRITERION, RETURNTYPE, SUBSET >
• Criterion_Normal() : FST::Criterion_Normal< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• Criterion_Normal_Bhattacharyya() : FST::Criterion_Normal_Bhattacharyya< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• Criterion_Normal_Divergence() : FST::Criterion_Normal_Divergence< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• Criterion_Normal_GMahalanobis() : FST::Criterion_Normal_GMahalanobis< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• Criterion_Subset_Size() : FST::Criterion_Subset_Size< RETURNTYPE, SUBSET >
• Criterion_Sum_Of_Weights() : FST::Criterion_Sum_Of_Weights< RETURNTYPE, DIMTYPE, SUBSET >
• Criterion_Wrapper() : FST::Criterion_Wrapper< RETURNTYPE, SUBSET, CLASSIFIER, DATAACCESSOR >
• Criterion_Wrapper_Bias_Estimate() : FST::Criterion_Wrapper_Bias_Estimate< RETURNTYPE, SUBSET, CLASSIFIER, DATAACCESSOR >
• currentset_add() : FST::Search_Branch_And_Bound< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• currentset_remove() : FST::Search_Branch_And_Bound< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• cut_possible() : FST::Search_Branch_And_Bound< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Search_Branch_And_Bound_Basic< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Search_Branch_And_Bound_Fast< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, PREDICTOR >, FST::Search_Branch_And_Bound_Improved< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Search_Branch_And_Bound_Partial_Prediction< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, PREDICTOR >