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

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D

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F

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• OBSERVER : FST::Search< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• Observer_Curve() : fst4_cli::Observer_Curve
• Observer_JSON() : fst4_cli::Observer_JSON
• offset : FST::Data_File_ARFF_Feature
• oiter : FST::Sequential_Step_Ensemble< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• on_progress() : fst4_cli::Observer_Curve, FST::Search_Observer< RETURNTYPE, SUBSET >
• on_solution() : fst4_cli::Observer_Curve, fst4_cli::Observer_JSON, FST::Search_Observer< RETURNTYPE, SUBSET >
• onepattern : FST::Classifier_LIBSVM< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• open() : FST::Data_File_TRN< DATATYPE, IDXTYPE >
• operator!=() : FST::Data_Accessor< DATATYPE, IDXTYPE >::Block_Range::iterator, FST::Subset< BINTYPE, DIMTYPE >::Feature_Range::iterator
• operator*() : FST::Data_Accessor< DATATYPE, IDXTYPE >::Block_Range::iterator, FST::Subset< BINTYPE, DIMTYPE >::Feature_Range::iterator
• operator++() : FST::Data_Accessor< DATATYPE, IDXTYPE >::Block_Range::iterator, FST::Subset< BINTYPE, DIMTYPE >::Feature_Range::iterator
• operator<< : FST::Branch_And_Bound_Predictor< RETURNTYPE, DIMTYPE >, FST::Clonable, FST::Data_Intervaller< CONTAINER, IDXTYPE >, FST::Data_Scaler< DATATYPE >, FST::Data_Splitter< INTERVALCONTAINER, IDXTYPE >, FST::Indexed_Matrix< DATATYPE, DIMTYPE, SUBSET >, FST::Indexed_Vector< DATATYPE, DIMTYPE, SUBSET >, FST::msgbuf, FST::Search< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Sequential_Step< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::StopWatch, FST::Subset< BINTYPE, DIMTYPE >
• operator=() : fst4_cli::Stdin_Data_File, FST::Classifier_LIBSVM< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >::ParameterSet, FST::Indexed_Matrix< DATATYPE, DIMTYPE, SUBSET >, FST::Indexed_Vector< DATATYPE, DIMTYPE, SUBSET >
• operator[]() : FST::Indexed_Vector< DATATYPE, DIMTYPE, SUBSET >
• optimize_parameters() : FST::Classifier_LIBSVM< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >, FST::Classifier_RBF_SVM< RETURNTYPE, DATATYPE, REALTYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR >
• optimize_within_equivalence_group() : FST::Result_Tracker_Regularizer< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET, CRITERION >
• optimize_within_first_equivalence_group() : FST::Result_Tracker_Regularizer< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET, CRITERION >
• optimize_within_margin() : FST::Result_Tracker_Regularizer< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET, CRITERION >
• optimize_within_next_equivalence_group() : FST::Result_Tracker_Regularizer< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET, CRITERION >
• opts : FST::Data_Accessor_Splitting_MemCSV< DATATYPE, IDXTYPE, INTERVALCONTAINER >, FST::Data_File_CSV
• order_backward : FST::Sequential_Step_Sampled< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, WEIGHTER >
• order_candidates() : FST::Sequential_Step_Ensemble< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• order_forward : FST::Sequential_Step_Sampled< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, WEIGHTER >
• ORDERTYPE : FST::Result_Tracker_Feature_Stats< RETURNTYPE, IDXTYPE, DIMTYPE, SUBSET >
• os_delta : fst4_cli::Config
• output : fst4_cli::Config
• output_detailed() : FST::Result_Tracker< RETURNTYPE, SUBSET >, FST::Search< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Sequential_Step< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• output_normal() : FST::Result_Tracker< RETURNTYPE, SUBSET >, FST::Search< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >, FST::Sequential_Step< RETURNTYPE, DIMTYPE, SUBSET, CRITERION >
• overflow() : fst4_cli::NullBuf