Package sklearn

Interface HasNumberOfFeatures

All Known Implementing Classes:

AdaBoostRegressor, AggregateTransformer, Alias, BaggingClassifier, BaggingRegressor, BaseEncoder, BasePCA, Binarizer, BSplineTransformer, BusinessDecisionTransformer, CalibratedClassifier, CalibratedClassifierCV, Calibrator, CastTransformer, CategoricalDomain, CategoricalImputer, CHAIDClassifier, CHAIDRegressor, Classifier, ClassifierChain, Clusterer, ColumnTransformer, Composite, CompositeClassifier, CompositeClusterer, CompositeRegressor, CompositeTransformer, ConcatTransformer, ContinuousDomain, ContinuousDomainEraser, CountVectorizer, CutTransformer, DataFrameConstructor, DataFrameMapper, DateDomain, DateTimeDomain, DateTimeFormatter, DaysSinceYearTransformer, Decorator, DictVectorizer, DiscreteDomain, DiscreteDomainEraser, Domain, DomainEraser, Drop, DummyClassifier, DummyRegressor, DurationTransformer, EnsembleClassifier, EnsembleRegressor, Estimator, EstimatorChain, EstimatorProxy, ExpressionClassifier, ExpressionRegressor, ExpressionTransformer, FeatureUnion, FilterLookupTransformer, FixedThresholdClassifier, ForestClassifier, ForestRegressor, Formatter, FunctionTransformer, GaussianNB, GBDTLMRegressor, GBDTLRClassifier, GeneralizedLinearRegressor, GradientBoostingClassifier, GradientBoostingRegressor, HistGradientBoostingClassifier, HistGradientBoostingRegressor, IdentityTransformer, Imputer, IncrementalPCA, Initializer, IsolationForest, IsotonicRegression, KBinsDiscretizer, KMeans, KNeighborsClassifier, KNeighborsRegressor, LabelBinarizer, LabelEncoder, LabelEncoderClassifier, LagTransformer, LibSVMClassifier, LibSVMRegressor, LinearClassifier, LinearDiscriminantAnalysis, LinearRegressor, LinearSVC, Link, LogisticRegression, LookupTransformer, MatchesTransformer, MaxAbsScaler, Memorizer, MemoryManager, MiniBatchKMeans, MinMaxScaler, MissingIndicator, MLPClassifier, MLPRegressor, MLPTransformer, MultiAlias, MultiCastTransformer, MultiDomain, MultiLookupTransformer, MultiOneHotEncoder, MultiOutputClassifier, MultiOutputRegressor, NearestCentroid, NearestNeighbors, NumberFormatter, OneClassSVM, OneHotEncoder, OneVsRestClassifier, OrdinalDomain, OrdinalEncoder, PassThrough, PCA, PMMLLabelBinarizer, PMMLLabelEncoder, PMMLPipeline, PolynomialFeatures, PowerFunctionTransformer, PowerTransformer, Recaller, RegExTransformer, Regressor, RegressorChain, ReplaceTransformer, Reshaper, RidgeClassifier, RobustScaler, RollingAggregateTransformer, RuleSetClassifier, Scaler, SecondsSinceMidnightTransformer, SecondsSinceYearTransformer, SelectFirstClassifier, SelectFirstRegressor, SelectFirstTransformer, SelectFromModel, SelectKBest, Selector, SelectorProxy, SelectUnique, SeriesConstructor, SGDClassifier, SGDOneClassSVM, SigmoidCalibration, SimpleImputer, SkLearnClassifier, SkLearnClusterer, SkLearnPipeline, SkLearnRegressor, SkLearnSelector, SkLearnTransformer, Slicer, SplineTransformer, StackingClassifier, StackingRegressor, StandardScaler, Step, StringLengthTransformer, StringNormalizer, StringTransformer, SubstringTransformer, TargetEncoder, TemporalDomain, TfidfVectorizer, TransformedTargetRegressor, Transformer, TransformerWrapper, TreeClassifier, TreeRegressor, TruncatedSVD, TunedThresholdClassifierCV, TypeTransformer, VotingClassifier, VotingRegressor, WordCountTransformer

public interface HasNumberOfFeatures

Field Summary

Fields

Modifier and Type	Field	Description
static int	UNKNOWN

Method Summary

Modifier and Type	Method	Description
int	getNumberOfFeatures()

Field Detail

UNKNOWN

static final int UNKNOWN

See Also:

Constant Field Values

Method Detail

getNumberOfFeatures

int getNumberOfFeatures()