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

_

~

- m -

• m_is : FST::Result_Weighter_Sampled< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >::FeatureStat
• m_isnot : FST::Result_Weighter_Sampled< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >::FeatureStat
• m_thread : FST::ThreadPool::ThreadsArray
• make() : FST::Clonable_Impl< Derived, Base, DEEP_KIND, SHARING_KIND, STATELESS_KIND >
• make_random_subset() : FST::Subset< BINTYPE, DIMTYPE >
• make_tree_level() : FST::Search_Branch_And_Bound< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• makeFirstSplit() : FST::Data_Splitter< INTERVALCONTAINER, IDXTYPE >
• makeNextSplit() : FST::Data_Splitter< INTERVALCONTAINER, IDXTYPE >
• makeRandomSplit() : FST::Data_Splitter_RandomRandom< INTERVALCONTAINER, IDXTYPE, BINTYPE >, FST::Data_Splitter_TrainRandom_TestFixed< INTERVALCONTAINER, IDXTYPE, BINTYPE >
• mappedALL : FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >
• mappedCells : FST::Data_File_CSV
• mappedDataPart() : FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >
• mappedRows : FST::Data_File_CSV
• mappedTEST : FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >
• mappedTRAIN : FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >
• mappedTRAINTEST : FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >
• margin : fst4_cli::RunResult::RegEntry
• match() : FST::Subset< BINTYPE, DIMTYPE >::Feature_Range::iterator
• max : FST::Data_Scaler_to01< DATATYPE >
• max_features() : FST::Result_Tracker_Stability_Evaluator< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• max_idx() : FST::Data_Intervaller< CONTAINER, IDXTYPE >
• maxcritsub : FST::Search_SFFS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >, FST::Search_SFRS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >
• mc_card_max : fst4_cli::Config
• mc_card_min : fst4_cli::Config
• mc_card_prob : fst4_cli::Config
• mc_seconds : fst4_cli::Config
• mc_trials : fst4_cli::Config
• mean : FST::Data_Scaler_white< DATATYPE, IDXTYPE >, FST::Result_Tracker_Feature_Stats< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >::SubSizeStat
• mean_cv_accuracy() : FST::Classifier_RBF_SVM< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• mean_is : FST::Result_Tracker_Feature_Stats< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >::FeatureStat
• mean_isnot : FST::Result_Tracker_Feature_Stats< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >::FeatureStat
• measure : fst4_cli::RunResult::StabilityEntry
• metric : fst4_cli::RunResult::ValidationEntry, FST::Metric_Spec< RETURNTYPE >
• metric_value : fst4_cli::RunResult::ValidationEntry
• min : FST::Data_Scaler_to01< DATATYPE >
• missing_to : FST::Data_File_CSV_Options
• missing_to_active : FST::Data_File_CSV_Options
• missing_to_unpaired : FST::Data_File_CSV_Options
• missing_value : fst4_cli::Config
• missing_values : FST::Data_Scaler_to01< DATATYPE >, FST::Data_Scaler_void< DATATYPE >, FST::Data_Scaler_white< DATATYPE, IDXTYPE >
• model : FST::Classifier_LIBSVM< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• model_count() : FST::Classifier_Linear_SVM< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_RBF_SVM< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• Model_Multinomial() : FST::Model_Multinomial< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• Model_Normal() : FST::Model_Normal< DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• multiplier : fst4_cli::RunResult::SweepEntry
• multiplier_sweep : fst4_cli::RunResult
• mutex_candidate_getter : FST::Candidate_Evaluator_Threaded< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• mutex_launcher : FST::ThreadPool
• mutex_stream : FST::Candidate_Evaluator_Threaded< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• mutex_worker_exception : FST::Candidate_Evaluator_Threaded< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• mystrupr() : FST::Data_File_ARFF