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

A

B

C

D

E

F

G

H

I

J

K

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M

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R

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T

U

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~

- s -

• sampled_backward() : FST::Sequential_Step_Sampled< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, WEIGHTER >
• sampled_forward() : FST::Sequential_Step_Sampled< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, WEIGHTER >
• scale() : FST::Data_Scaler< DATATYPE >, FST::Data_Scaler_to01< DATATYPE >, FST::Data_Scaler_void< DATATYPE >, FST::Data_Scaler_white< DATATYPE, IDXTYPE >
• scale_inplace() : FST::Data_Scaler< DATATYPE >, FST::Data_Scaler_to01< DATATYPE >, FST::Data_Scaler_void< DATATYPE >, FST::Data_Scaler_white< DATATYPE, IDXTYPE >
• scale_sample_inplace() : FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >
• score() : FST::Result_Weighter_Sampled< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• search() : FST::Search< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Search_Branch_And_Bound< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Search_DOS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >, FST::Search_Exhaustive< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Search_Monte_Carlo< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Search_OS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >, FST::Search_Ranking< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Search_Sequential< 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 >
• Search_Branch_And_Bound() : FST::Search_Branch_And_Bound< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• Search_Branch_And_Bound_Basic() : FST::Search_Branch_And_Bound_Basic< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• Search_Branch_And_Bound_Fast() : FST::Search_Branch_And_Bound_Fast< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, PREDICTOR >
• Search_Branch_And_Bound_Improved() : FST::Search_Branch_And_Bound_Improved< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• Search_Branch_And_Bound_Improved_Threaded() : FST::Search_Branch_And_Bound_Improved_Threaded< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• Search_Branch_And_Bound_Partial_Prediction() : FST::Search_Branch_And_Bound_Partial_Prediction< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, PREDICTOR >
• Search_DOS() : FST::Search_DOS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >
• Search_Exhaustive() : FST::Search_Exhaustive< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• Search_Exhaustive_Threaded() : FST::Search_Exhaustive_Threaded< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• Search_Monte_Carlo() : FST::Search_Monte_Carlo< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• Search_Monte_Carlo_Threaded() : FST::Search_Monte_Carlo_Threaded< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• search_one() : FST::Search_OS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >
• Search_OS() : FST::Search_OS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >
• Search_Ranking() : FST::Search_Ranking< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• Search_Ranking_BIF() : FST::Search_Ranking_BIF< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• Search_Ranking_BIF_Threaded() : FST::Search_Ranking_BIF_Threaded< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• Search_Sequential() : FST::Search_Sequential< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >
• Search_SFFS() : FST::Search_SFFS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >
• Search_SFRS() : FST::Search_SFRS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >
• Search_SFS() : FST::Search_SFS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >
• select() : FST::Subset< BINTYPE, DIMTYPE >
• select_all() : FST::Subset< BINTYPE, DIMTYPE >
• select_all_raw() : FST::Subset< BINTYPE, DIMTYPE >
• select_raw() : FST::Subset< BINTYPE, DIMTYPE >
• selected_features() : FST::Subset< BINTYPE, DIMTYPE >
• selected_raw() : FST::Subset< BINTYPE, DIMTYPE >
• self() : FST::Clonable_Impl< Derived, Base, DEEP_KIND, SHARING_KIND, STATELESS_KIND >
• send_data_block() : FST::Criterion_Extern_Value< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• send_line() : FST::Extern_Bridge
• send_row() : FST::Classifier_Extern< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Criterion_Extern_Value< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• Sequential_Step_Ensemble() : FST::Sequential_Step_Ensemble< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• Sequential_Step_Hybrid() : FST::Sequential_Step_Hybrid< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, FILTERCRITERION >
• Sequential_Step_Sampled() : FST::Sequential_Step_Sampled< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, WEIGHTER >
• Sequential_Step_Straight() : FST::Sequential_Step_Straight< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• Sequential_Step_Straight_Threaded() : FST::Sequential_Step_Straight_Threaded< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• set_all_raw_to() : FST::Indexed_Matrix< DATATYPE, DIMTYPE, SUBSET >, FST::Indexed_Vector< DATATYPE, DIMTYPE, SUBSET >
• set_cap_backward() : FST::Sequential_Step_Sampled< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, WEIGHTER >
• set_cap_frac() : FST::Sequential_Step_Sampled< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, WEIGHTER >
• set_cardinality_randomization() : FST::Search_Monte_Carlo< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• set_cloned() : FST::Clonable
• set_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
• set_delta() : FST::Branch_And_Bound_Predictor_Averaging< RETURNTYPE, DIMTYPE >, FST::Search_Branch_And_Bound_Fast< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, PREDICTOR >, 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 >
• set_dependent_index() : FST::Regressor_Ridge< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Regressor_Weighted_Neighbours< RETURNTYPE, DATATYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR, DISTANCE >
• set_forward_mode() : FST::Subset< BINTYPE, DIMTYPE >
• set_frozen_mode() : FST::Subset< BINTYPE, DIMTYPE >
• set_gamma() : FST::Branch_And_Bound_Predictor_Averaging< RETURNTYPE, DIMTYPE >, FST::Search_Branch_And_Bound_Fast< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, PREDICTOR >
• set_generalization_level() : FST::Search_Sequential< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >
• set_inclusion_cardinality_restriction() : FST::Result_Tracker_Dupless< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• set_inclusion_margin() : FST::Result_Tracker_Dupless< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• set_k() : FST::Classifier_kNN< RETURNTYPE, DATATYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR, DISTANCE >
• set_kernel_multiplier() : FST::Regressor_Weighted_Neighbours< RETURNTYPE, DATATYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR, DISTANCE >
• set_kernel_type() : FST::Classifier_LIBSVM< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• set_l2_loss() : FST::Classifier_Linear_SVM< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_RBF_SVM< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• set_lambda() : FST::Classifier_Logistic_Regression< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Regressor_Ridge< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• set_max_depth() : FST::Classifier_Random_Forest< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• set_max_iter() : FST::Classifier_Linear_SVM< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_Logistic_Regression< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_RBF_SVM< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• set_metric() : FST::Criterion_Wrapper< RETURNTYPE, SUBSET, CLASSIFIER, DATAACCESSOR >
• set_min_leaf() : FST::Classifier_Random_Forest< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• set_monotonic() : FST::Criterion_Extern_Value< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• set_mtry() : FST::Classifier_Random_Forest< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• set_n() : FST::Data_Splitter< INTERVALCONTAINER, IDXTYPE >
• set_no_data() : FST::Criterion_Extern_Value< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• set_observer() : FST::Search< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• set_output_detail() : FST::Result_Tracker< RETURNTYPE, SUBSET >, FST::Search< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Sequential_Step< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• set_parameter_C() : FST::Classifier_LIBSVM< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_Linear_SVM< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_RBF_SVM< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• set_parameter_coef0() : FST::Classifier_LIBSVM< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• set_parameter_gamma() : FST::Classifier_LIBSVM< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_RBF_SVM< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• set_prefiltering_limits() : FST::Sequential_Step_Hybrid< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, FILTERCRITERION >
• set_scaler_fit_train() : FST::Data_Accessor_Splitting_Mem< DATATYPE, IDXTYPE, INTERVALCONTAINER >
• set_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 >
• set_seed_salt() : FST::Classifier_Random_Forest< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• set_sharing() : FST::Clonable
• set_sharing_cloned() : FST::Clonable
• set_stopping_condition() : FST::Search_Monte_Carlo< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• set_tolerance() : FST::Classifier_Linear_SVM< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_Logistic_Regression< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_RBF_SVM< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• set_tree_count() : FST::Classifier_Random_Forest< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• setClass() : FST::Data_Accessor< DATATYPE, IDXTYPE >, FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >
• setClassId() : FST::Data_File_ARFF_Record
• setSplittingDepth() : FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >
• setup_default_structures() : FST::Search_Branch_And_Bound< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• sharing_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 >
• shutdown_process() : FST::Extern_Bridge
• similarity_IANHI() : FST::Result_Tracker_Stability_Evaluator< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• similarity_IATI() : FST::Result_Tracker_Stability_Evaluator< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• similarity_IC() : FST::Result_Tracker_Stability_Evaluator< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• similarity_ICW() : FST::Result_Tracker_Stability_Evaluator< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• size() : FST::Result_Tracker< RETURNTYPE, SUBSET >, FST::Result_Tracker_Dupless< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >, FST::Result_Tracker_Stability_Evaluator< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• size_mean() : FST::Result_Tracker_Stability_Evaluator< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• size_stddev() : FST::Result_Tracker_Stability_Evaluator< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• solve_dual() : FST::Classifier_Linear_SVM< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_RBF_SVM< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• solve_equations() : FST::Indexed_Matrix< DATATYPE, DIMTYPE, SUBSET >
• sort_in() : FST::Classifier_kNN< RETURNTYPE, DATATYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR, DISTANCE >
• sortRecordsByClass() : FST::Data_File_ARFF, FST::Data_File_CSV
• splitClassFirst() : 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 >
• splitClassNext() : FST::Data_Splitter< INTERVALCONTAINER, IDXTYPE >, FST::Data_Splitter_CV< INTERVALCONTAINER, IDXTYPE >, FST::Data_Splitter_Leave1Out< INTERVALCONTAINER, IDXTYPE >, FST::Data_Splitter_RandomRandom< INTERVALCONTAINER, IDXTYPE, BINTYPE >
• splitLine() : FST::Data_File_CSV
• splitter_name() : 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 >
• stability_ANHI() : FST::Result_Tracker_Stability_Evaluator< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• stability_ATI() : FST::Result_Tracker_Stability_Evaluator< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• stability_C() : FST::Result_Tracker_Stability_Evaluator< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• stability_CW() : FST::Result_Tracker_Stability_Evaluator< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• stability_CWrel() : FST::Result_Tracker_Stability_Evaluator< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• stability_PH() : FST::Result_Tracker_Stability_Evaluator< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• stability_SH() : FST::Result_Tracker_Stability_Evaluator< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• startFirstLoop() : FST::Data_Scaler< DATATYPE >, FST::Data_Scaler_to01< DATATYPE >, FST::Data_Scaler_void< DATATYPE >, FST::Data_Scaler_white< DATATYPE, IDXTYPE >
• startNextLoop() : FST::Data_Scaler< DATATYPE >, FST::Data_Scaler_to01< DATATYPE >, FST::Data_Scaler_void< DATATYPE >, FST::Data_Scaler_white< DATATYPE, IDXTYPE >
• stateless_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 >
• stateless_copy() : FST::Subset< BINTYPE, DIMTYPE >
• Stdin_Data_File() : fst4_cli::Stdin_Data_File
• Step() : FST::Search_Sequential< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >
• str() : FST::msgbuf
• stream() : FST::msgbuf
• stream_worker() : FST::Candidate_Evaluator_Threaded< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• Subset() : FST::Subset< BINTYPE, DIMTYPE >
• SubsetCandidate() : FST::Sequential_Step_Ensemble< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >::SubsetCandidate, FST::Sequential_Step_Hybrid< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, FILTERCRITERION >::SubsetCandidate
• substitute() : FST::Data_Accessor< DATATYPE, IDXTYPE >, FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >
• subtract_raw() : FST::Indexed_Vector< DATATYPE, DIMTYPE, SUBSET >
• sum() : FST::Data_Intervaller< CONTAINER, IDXTYPE >