sklearn

Interface HasNumberOfFeatures

All Known Implementing Classes:

AdaBoostRegressor, Aggregator, Alias, BaggingClassifier, BaggingRegressor, BaseEstimator, BaseNEncoder, BasePCA, Binarizer, BinaryEncoder, BinMapper, BSplineTransformer, CastTransformer, CatBoostEncoder, CategoricalDomain, CategoricalImputer, CategoryEncoder, Classifier, Clusterer, ColumnTransformer, Composite, ConcatTransformer, ContinuousDomain, ContinuousDomainEraser, CountEncoder, CountVectorizer, CutTransformer, DataFrameMapper, DateDomain, DateTimeDomain, DaysSinceYearTransformer, DenseTransformer, DictVectorizer, DiscreteDomain, DiscreteDomainEraser, Domain, DomainEraser, Drop, DummyClassifier, DummyRegressor, DurationTransformer, EnsembleClassifier, EnsembleRegressor, Estimator, EstimatorProxy, EstimatorTransformer, ExpressionTransformer, FeatureUnion, FilterLookupTransformer, ForestClassifier, ForestRegressor, FunctionTransformer, GaussianNB, GBDTLMRegressor, GBDTLRClassifier, GeneralizedLinearRegressor, GradientBoostingClassifier, GradientBoostingRegressor, H2OFrameCreator, HistGradientBoostingClassifier, HistGradientBoostingRegressor, IdentityTransformer, Imputer, IncrementalPCA, Initializer, IsolationForest, IsotonicRegression, KBinsDiscretizer, KMeans, KNeighborsClassifier, KNeighborsRegressor, LabelBinarizer, LabelEncoder, LabelEncoderClassifier, LeaveOneOutEncoder, LGBMClassifier, LGBMRegressor, LibSVMClassifier, LibSVMRegressor, LinearClassifier, LinearDiscriminantAnalysis, LinearRegressor, LinearSVC, LogisticRegression, LookupTransformer, MapEncoder, MatchesTransformer, MaxAbsScaler, MeanEncoder, MiniBatchKMeans, MinMaxScaler, MissingIndicator, MLPClassifier, MLPRegressor, MultiDomain, MultiLookupTransformer, MultiOneHotEncoder, MultiTransformer, None, OneClassSVM, OneHotEncoder, OneHotEncoder, OneVsRestClassifier, OrdinalDomain, OrdinalEncoder, OrdinalEncoder, OrdinalMapEncoder, PassThrough, PatternTransformer, PCA, Pipeline, PipelineClassifier, PipelineRegressor, PipelineTransformer, PMMLLabelBinarizer, PMMLLabelEncoder, PMMLPipeline, PolynomialFeatures, PowerFunctionTransformer, PowerTransformer, PySelector, Regressor, ReplaceTransformer, RidgeClassifier, RobustScaler, RuleSetClassifier, Sampler, SecondsSinceMidnightTransformer, SecondsSinceYearTransformer, SelectFirstClassifier, SelectFirstRegressor, SelectFromModel, SelectKBest, Selector, SelectorProxy, SelectUnique, SGDClassifier, SimpleImputer, StackingClassifier, StackingEstimator, StackingRegressor, StandardScaler, Step, StringNormalizer, SubstringTransformer, TargetEncoder, TemporalDomain, TfidfVectorizer, TransformedTargetRegressor, Transformer, TreeClassifier, TreeRegressor, TruncatedSVD, WOEEncoder, WordCountTransformer, VotingClassifier, VotingRegressor, XGBClassifier, XGBRegressor

public interface HasNumberOfFeatures

Field Summary

Fields

Modifier and Type	Field and Description
static int	UNKNOWN

Method Summary

Modifier and Type	Method and Description
int	getNumberOfFeatures()

Field Detail

UNKNOWN

static final int UNKNOWN

See Also:

Constant Field Values

Method Detail

getNumberOfFeatures

int getNumberOfFeatures()