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

A

B

C

D

E

F

G

H

I

J

K

L

M

N

O

P

R

S

T

U

V

W

X

Y

_

~

- g -

• generalization : fst4_cli::Config
• Generator : FST::Candidate_Evaluator< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Candidate_Evaluator_Sequential< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Candidate_Evaluator_Threaded< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• get_available_size() : FST::Search_Branch_And_Bound< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• get_bound_value() : FST::Search_Branch_And_Bound< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• get_cap_backward() : FST::Sequential_Step_Sampled< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, WEIGHTER >
• get_cap_frac() : FST::Sequential_Step_Sampled< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, WEIGHTER >
• get_classes() : FST::Model_Multinomial< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Model_Normal< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• get_combinations() : FST::Subset< BINTYPE, DIMTYPE >
• get_command() : FST::Classifier_Extern< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Criterion_Extern_Value< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Extern_Bridge
• get_count() : FST::Branch_And_Bound_Predictor_Averaging< RETURNTYPE, DIMTYPE >
• get_cov() : FST::Model_Normal< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• get_criterion() : FST::Search_Branch_And_Bound< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• get_current_node() : FST::Search_Branch_And_Bound< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• get_currentset() : FST::Search_Branch_And_Bound< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• get_d() : 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::Criterion_Multinomial< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Criterion_Normal< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Distance< DATATYPE, DIMTYPE, SUBSET >, FST::Indexed_Matrix< DATATYPE, DIMTYPE, SUBSET >, FST::Indexed_Vector< DATATYPE, DIMTYPE, SUBSET >, FST::Model_Multinomial< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Model_Normal< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Search_Branch_And_Bound< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Subset< BINTYPE, DIMTYPE >
• get_d_raw() : FST::Subset< BINTYPE, DIMTYPE >
• get_delta() : FST::Search_DOS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >, FST::Search_OS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >, FST::Search_SFFS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >, FST::Search_SFRS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >
• get_doc_avg_length() : FST::Model_Multinomial< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• get_engine() : FST::Search_Branch_And_Bound< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• get_first() : FST::Result_Tracker< RETURNTYPE, SUBSET >, FST::Result_Tracker_Dupless< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >, FST::Result_Tracker_Stability_Evaluator< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• get_forward_mode() : FST::Subset< BINTYPE, DIMTYPE >
• get_frozen_mode() : FST::Subset< BINTYPE, DIMTYPE >
• get_generalization_level() : FST::Search_Sequential< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >
• get_horizon() : FST::Result_Weighter_Sampled< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• get_IB() : FST::Model_Multinomial< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• get_io_mutex() : FST::syncout
• get_iter : FST::Search_Ranking< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• get_iter_mutex : FST::Search_Ranking< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• get_k() : FST::Classifier_kNN< RETURNTYPE, DATATYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR, DISTANCE >, FST::Search_Branch_And_Bound< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• get_kernel_size() : FST::Regressor_Weighted_Neighbours< RETURNTYPE, DATATYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR, DISTANCE >
• get_kernel_type() : FST::Classifier_LIBSVM< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• get_lambda() : FST::Classifier_Logistic_Regression< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• get_max_iter() : FST::Classifier_Logistic_Regression< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• get_max_threads() : FST::Candidate_Evaluator< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Candidate_Evaluator_Sequential< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Candidate_Evaluator_Threaded< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::ThreadPool
• get_mean() : FST::Model_Normal< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• get_metric() : FST::Criterion_Wrapper< RETURNTYPE, SUBSET, CLASSIFIER, DATAACCESSOR >
• get_MI() : FST::Model_Multinomial< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• get_mode() : FST::Result_Weighter_Sampled< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• get_n() : 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::Criterion_Multinomial< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Criterion_Normal< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Data_Splitter< INTERVALCONTAINER, IDXTYPE >, FST::Distance< DATATYPE, DIMTYPE, SUBSET >, FST::Indexed_Matrix< DATATYPE, DIMTYPE, SUBSET >, FST::Indexed_Vector< DATATYPE, DIMTYPE, SUBSET >, FST::Model_Multinomial< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Model_Normal< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Result_Weighter_Sampled< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >, FST::Search_Branch_And_Bound< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Subset< BINTYPE, DIMTYPE >
• get_n_max() : FST::Indexed_Matrix< DATATYPE, DIMTYPE, SUBSET >, FST::Model_Multinomial< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Model_Normal< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• get_n_raw() : FST::Subset< BINTYPE, DIMTYPE >
• get_next() : FST::Result_Tracker< RETURNTYPE, SUBSET >, FST::Result_Tracker_Dupless< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >, FST::Result_Tracker_Stability_Evaluator< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• get_NHI() : FST::Result_Tracker_Stability_Evaluator< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• get_output_detail() : FST::Result_Tracker< RETURNTYPE, SUBSET >, FST::Search< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Sequential_Step< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• get_parameter_C() : FST::Classifier_LIBSVM< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_RBF_SVM< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• get_parameter_coef0() : FST::Classifier_LIBSVM< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• get_parameter_gamma() : FST::Classifier_LIBSVM< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_RBF_SVM< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• get_parent_node() : FST::Search_Branch_And_Bound< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• get_Pc() : FST::Model_Multinomial< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Model_Normal< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• get_prefiltering_max() : FST::Sequential_Step_Hybrid< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, FILTERCRITERION >
• get_prefiltering_perc() : FST::Sequential_Step_Hybrid< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, FILTERCRITERION >
• get_prelearn_mode() : FST::Classifier_Multinomial_NaiveBayes< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_Normal_Bayes< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• get_raw() : FST::Indexed_Vector< DATATYPE, DIMTYPE, SUBSET >
• get_result() : FST::Search_SFFS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >, FST::Search_SFRS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >, FST::Search_SFS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >
• get_row() : FST::Indexed_Matrix< DATATYPE, DIMTYPE, SUBSET >
• get_row_raw() : FST::Indexed_Matrix< DATATYPE, DIMTYPE, SUBSET >
• get_running_threads() : FST::ThreadPool
• get_scaler_fit_train() : FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >
• get_search_direction() : FST::Search_SFFS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >, FST::Search_SFRS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >, FST::Search_SFS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >
• get_stats() : FST::Sequential_Step_Sampled< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, WEIGHTER >
• get_theta() : FST::Model_Multinomial< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• get_TI() : FST::Result_Tracker_Stability_Evaluator< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• get_tolerance() : FST::Classifier_Logistic_Regression< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• get_weight() : FST::Regressor_Weighted_Neighbours< RETURNTYPE, DATATYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR, DISTANCE >
• getAvailable() : FST::Search_Branch_And_Bound< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• getBestResult() : FST::Candidate_Evaluator< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Candidate_Evaluator_Sequential< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Candidate_Evaluator_Threaded< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• getBiasEstimate() : FST::Criterion_Wrapper_Bias_Estimate< RETURNTYPE, SUBSET, CLASSIFIER, DATAACCESSOR >
• getBlockIndex() : FST::Data_Accessor< DATATYPE, IDXTYPE >, FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >
• getClass() : FST::Data_Accessor< DATATYPE, IDXTYPE >, FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >
• getClassId() : FST::Data_File_ARFF_Record
• getClassName() : FST::Data_File_ARFF, FST::Data_File_CSV
• getClassSize() : FST::Data_Accessor< DATATYPE, IDXTYPE >, FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >, FST::Data_File_ARFF, FST::Data_File_CSV, FST::Data_File_TRN< DATATYPE, IDXTYPE >
• getClassSizeSum() : FST::Data_Accessor< DATATYPE, IDXTYPE >, FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >
• getData() : FST::Data_File_ARFF_Record
• getFeatureValue() : FST::Data_File_ARFF, FST::Data_File_CSV
• GetFileParams() : FST::Data_File_TRN< DATATYPE, IDXTYPE >
• getFirstAvailable() : FST::Search_Branch_And_Bound< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• getFirstBlock() : FST::Data_Accessor< DATATYPE, IDXTYPE >, FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >, FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >, FST::Data_Intervaller< CONTAINER, IDXTYPE >
• getFirstCandidateSubset() : FST::Subset< BINTYPE, DIMTYPE >
• getFirstDAF() : FST::Result_Tracker_Feature_Stats< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• getFirstFeature() : FST::Search_Ranking< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Subset< BINTYPE, DIMTYPE >
• getFirstNode() : FST::Search_Branch_And_Bound< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• getFirstPairDAF() : FST::Result_Tracker_Feature_Stats< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• getFirstResult() : FST::Candidate_Evaluator_Threaded< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• getFirstSplit() : FST::Data_Accessor< DATATYPE, IDXTYPE >, FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >, FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >, FST::Data_Accessor_Universe< DATATYPE, IDXTYPE, INTERVALCONTAINER >
• getFirstTemporaryFeature() : FST::Subset< BINTYPE, DIMTYPE >
• getiter : FST::Result_Tracker_Dupless< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >, FST::Result_Tracker_Stability_Evaluator< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• getNextAvailable() : FST::Search_Branch_And_Bound< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• getNextBlock() : FST::Data_Accessor< DATATYPE, IDXTYPE >, FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >, FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >, FST::Data_Intervaller< CONTAINER, IDXTYPE >
• getNextCandidateSubset() : FST::Subset< BINTYPE, DIMTYPE >
• getNextDAF() : FST::Result_Tracker_Feature_Stats< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• getNextFeature() : FST::Search_Ranking< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Subset< BINTYPE, DIMTYPE >
• getNextNode() : FST::Search_Branch_And_Bound< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• getNextPairDAF() : FST::Result_Tracker_Feature_Stats< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• getNextResult() : FST::Candidate_Evaluator_Threaded< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• getNextSplit() : FST::Data_Accessor< DATATYPE, IDXTYPE >, FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >, FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >, FST::Data_Accessor_Universe< DATATYPE, IDXTYPE, INTERVALCONTAINER >
• getNextTemporaryFeature() : FST::Subset< BINTYPE, DIMTYPE >
• getNoOfAttributes() : FST::Data_File_ARFF
• getNoOfBlocks() : FST::Data_Accessor< DATATYPE, IDXTYPE >, FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >
• getNoOfCandidateSubsets() : FST::Subset< BINTYPE, DIMTYPE >
• getNoOfClasses() : FST::Data_Accessor< DATATYPE, IDXTYPE >, FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >, FST::Data_File_ARFF, FST::Data_File_CSV, FST::Data_File_TRN< DATATYPE, IDXTYPE >
• getNoOfFeatures() : FST::Data_Accessor< DATATYPE, IDXTYPE >, FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >, FST::Data_File_ARFF, FST::Data_File_CSV, FST::Data_File_TRN< DATATYPE, IDXTYPE >
• getNoOfPatterns() : FST::Data_Accessor< DATATYPE, IDXTYPE >, FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >
• getNoOfSplits() : FST::Data_Accessor< DATATYPE, IDXTYPE >, FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >, FST::Data_Accessor_Universe< DATATYPE, IDXTYPE, INTERVALCONTAINER >, FST::Data_Splitter< INTERVALCONTAINER, IDXTYPE >, FST::Data_Splitter_5050< INTERVALCONTAINER, IDXTYPE >, FST::Data_Splitter_CV< INTERVALCONTAINER, IDXTYPE >, FST::Data_Splitter_Holdout< INTERVALCONTAINER, IDXTYPE >, FST::Data_Splitter_Leave1Out< INTERVALCONTAINER, IDXTYPE >, FST::Data_Splitter_RandomRandom< INTERVALCONTAINER, IDXTYPE, BINTYPE >, FST::Data_Splitter_Resub< INTERVALCONTAINER, IDXTYPE >
• getNoOfTemporaryFeatures() : FST::Subset< BINTYPE, DIMTYPE >
• getRecordAt() : FST::Data_File_ARFF
• getSplitIndex() : FST::Data_Accessor< DATATYPE, IDXTYPE >, FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >
• getSplittingDepth() : FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >
• getTotalSize() : FST::Data_File_ARFF, FST::Data_File_CSV
• go() : FST::ThreadPool
• grandparent : FST::Search_DOS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >, FST::Search_OS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >, FST::Search_SFFS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >, FST::Search_SFRS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >, FST::Search_SFS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >
• grow_tree() : FST::Classifier_Random_Forest< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >