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

_

~

- t -

• target_d : fst4_cli::Config
• TCC : 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 >, FST::Data_Splitter_TrainRandom_TestFixed< INTERVALCONTAINER, IDXTYPE, BINTYPE >
• TCI : FST::Data_Intervaller< CONTAINER, IDXTYPE >
• TClassSplitter() : FST::Data_Splitter< INTERVALCONTAINER, IDXTYPE >::TClassSplitter
• template_crit : FST::Candidate_Evaluator_Threaded< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• TEMPORARY : FST::Subset< BINTYPE, DIMTYPE >::Feature_Range
• temporary_features() : FST::Subset< BINTYPE, DIMTYPE >
• test() : FST::Classifier< RETURNTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_Extern< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_LIBSVM< RETURNTYPE, 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::Data_Splitter< INTERVALCONTAINER, IDXTYPE >::TClassSplitter, FST::Regressor< RETURNTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Regressor_Ridge< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Regressor_Weighted_Neighbours< RETURNTYPE, DATATYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR, DISTANCE >
• test_candidate() : FST::Sequential_Step_Hybrid< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, FILTERCRITERION >
• test_confusion() : FST::Classifier< RETURNTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_Extern< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_Multinomial_NaiveBayes< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• test_metric() : FST::Classifier< RETURNTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Regressor< RETURNTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Regressor_Ridge< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Regressor_Weighted_Neighbours< RETURNTYPE, DATATYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR, DISTANCE >
• test_scores() : FST::Classifier< RETURNTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• test_scores_matrix() : FST::Classifier< RETURNTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• ThreadPool() : FST::ThreadPool
• ThreadPtr : FST::ThreadPool
• threads : fst4_cli::Config, FST::ThreadPool
• threshold : fst4_cli::RunResult::CurvePoint, FST::Classifier_Random_Forest< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >::Node
• tid : FST::ThreadPool::ThreadsArray
• tid_counter() : FST::ThreadPool
• time_elapsed() : FST::StopWatch
• timeelapsed_mutex : FST::StopWatch
• tlocal : FST::Candidate_Evaluator_Threaded< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• tmp_cand : FST::Sequential_Step_Sampled< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, WEIGHTER >
• tmp_id_desel : FST::Subset< BINTYPE, DIMTYPE >
• tmp_id_sel : FST::Subset< BINTYPE, DIMTYPE >
• tmp_id_traverse : FST::Subset< BINTYPE, DIMTYPE >
• tmp_step_sub : FST::Sequential_Step_Ensemble< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• tmpn : FST::Data_Splitter_CV< INTERVALCONTAINER, IDXTYPE >
• tmpod : FST::Data_Splitter_CV< INTERVALCONTAINER, IDXTYPE >
• tmpstartidx : FST::Data_Splitter_CV< INTERVALCONTAINER, IDXTYPE >
• tmpsub : FST::Search_OS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >
• to_child() : FST::Extern_Bridge
• top : fst4_cli::Svg_Panel
• top_k : fst4_cli::Config, fst4_cli::RunResult
• total_evals() : FST::Result_Weighter_Sampled< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• track : FST::Search_OS< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, EVALUATOR >, FST::Sequential_Step_Ensemble< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Sequential_Step_Hybrid< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, FILTERCRITERION >
• tracker : fst4_cli::Config, fst4_cli::Pipeline
• tracker_attach : fst4_cli::Config
• tracker_capacity : fst4_cli::Config
• tracker_margin : fst4_cli::Config
• tracker_reg : fst4_cli::Pipeline
• tracker_stabil : fst4_cli::Pipeline
• tracker_stats : fst4_cli::Pipeline
• train() : 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 >, FST::Data_Splitter< INTERVALCONTAINER, IDXTYPE >::TClassSplitter, FST::Regressor< RETURNTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Regressor_Ridge< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Regressor_Weighted_Neighbours< RETURNTYPE, DATATYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR, DISTANCE >
• translate() : FST::Data_Splitter_RandomRandom< INTERVALCONTAINER, IDXTYPE, BINTYPE >
• tree_vote() : FST::Classifier_Random_Forest< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• TreeLevelIter : FST::Search_Branch_And_Bound< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• trials : fst4_cli::RunResult
• trim() : FST::Data_File_ARFF
• trimTok() : FST::Data_File_CSV
• trnFile : FST::Data_Accessor_Splitting_MemTRN< DATATYPE, IDXTYPE, INTERVALCONTAINER >
• tt_phase : FST::Data_Accessor_Splitting< DATATYPE, IDXTYPE, INTERVALCONTAINER >
• tuned_c : fst4_cli::RunResult
• tuned_coef0 : fst4_cli::RunResult
• tuned_gamma : fst4_cli::RunResult
• tuned_has_coef0 : fst4_cli::RunResult
• tuned_which : fst4_cli::RunResult
• type : FST::Data_File_ARFF_Feature, FST::Search_Branch_And_Bound< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >::Node
• TYPE_NOMINAL : FST::Data_File_ARFF_Feature
• TYPE_NUMERIC : FST::Data_File_ARFF_Feature
• TYPE_STRING : FST::Data_File_ARFF_Feature
• TYPE_UNSUPPORTED : FST::Data_File_ARFF_Feature
• typeName : FST::Data_File_ARFF::SkippedColumn, FST::Data_File_ARFF_Feature