- s -
- SecStruct()
: faif::dna::SecStruct
- Section()
: faif::timeseries::Section< V >
- selection()
: faif::search::SelectionRanking< Space >
, faif::search::SelectionRoulette< Space >
- serialize()
: faif::DomainEnumerate< Val >
, faif::Point< Val >
, faif::PointAndFeature< Value, Feature, FeatureInit >
, faif::timeseries::Discretizer< V >
, faif::timeseries::Section< V >
, faif::ValueNominal< Val >
- setC()
: faif::ml::SvmClassifier< Val, DomainVal >
- setDefaultK()
: faif::ml::KNearestNeighbor< Val, Distance >
- setEpsilon()
: faif::ml::SvmClassifier< Val, DomainVal >
- setFiniteStepsStopCondition()
: faif::ml::SvmClassifier< Val, DomainVal >
- setGaussKernel()
: faif::ml::SvmClassifier< Val, DomainVal >
- setGaussParameter()
: faif::ml::SvmClassifier< Val, DomainVal >
- setHyperbolicTangentKernel()
: faif::ml::SvmClassifier< Val, DomainVal >
- setLinearKernel()
: faif::ml::SvmClassifier< Val, DomainVal >
- setMargin()
: faif::ml::SvmClassifier< Val, DomainVal >
- setPolynomialDegree()
: faif::ml::SvmClassifier< Val, DomainVal >
- setPolynomialInhomogeneousParameter()
: faif::ml::SvmClassifier< Val, DomainVal >
- setPolynomialKernel()
: faif::ml::SvmClassifier< Val, DomainVal >
- setSigmoidScaleFactor()
: faif::ml::SvmClassifier< Val, DomainVal >
- setTangentFrequency()
: faif::ml::SvmClassifier< Val, DomainVal >
- setTangentShift()
: faif::ml::SvmClassifier< Val, DomainVal >
- setTrainParams()
: faif::ml::DecisionTree< Val >
, faif::ml::RandomForest< Val >
- setValue()
: faif::DistrValue
- size()
: faif::dna::SecStruct
- solve()
: faif::search::EvolutionaryAlgorithm< Space, Mutation, Crossover, Selection, StopCondition >
, faif::search::ExpectationMaximization< Space, Expectation, Maximization, StopCondition >
, faif::search::HillClimbing< Space, NextNodeStrategy >
- SvmClassifier()
: faif::ml::SvmClassifier< Val, DomainVal >
- switchAddTraining()
: faif::ml::NaiveBayesian< Val >
- switchGetCategories()
: faif::ml::NaiveBayesian< Val >
- switchGetCategory()
: faif::ml::NaiveBayesian< Val >
- switchLoadSaveState()
: faif::ml::NaiveBayesian< Val >