Properties

Summary

property	class parent	truncated documentation
Keys	SkLearnParameters	Returns parameter names.
_estimator_type	PipelineCache
_final_estimator	PipelineCache
_pairwise	PipelineCache
_repr_html_	PipelineCache	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	ApproximateNMFPredictor	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	CategoriesToIntegers	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	ClassifierAfterKMeans	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	DecisionTreeLogisticRegression	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	ExtendedFeatures	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	IntervalRegressor	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	ConstraintKMeans	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	KMeansL1L2	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	PiecewiseClassifier	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	PiecewiseEstimator	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	PiecewiseRegressor	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	PiecewiseTreeRegressor	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	PredictableTSNE	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	CustomizedMultilayerPerceptron	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	QuantileMLPRegressor	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	QuantileLinearRegression	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	TraceableCountVectorizer	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	TraceableTfidfVectorizer	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	BaseReciprocalTransformer	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	FunctionReciprocalTransformer	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	PermutationReciprocalTransformer	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	TransformedTargetClassifier2	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	TransformedTargetRegressor2	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	TransferTransformer	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	ARTimeSeriesRegressor	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	BaseReciprocalTimeSeriesTransformer	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	BaseTimeSeries	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	DummyTimeSeriesRegressor	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	TimeSeriesDifference	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
_repr_html_	TimeSeriesDifferenceInv	HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …
classes_	PipelineCache
classes_	TransformedTargetClassifier2	Returns the classes.
degree	TimeSeriesDifference	Returns the degree.
feature_importances_	PiecewiseTreeRegressor	Return the feature importances. The importance of a feature is computed as the (normalized) total reduction …
idf_	TraceableTfidfVectorizer
inverse_transform	PipelineCache	Apply inverse transformations in reverse order All estimators in the pipeline must support inverse_transform. …
n_estimators_	IntervalRegressor	Returns the number of estimators = the number of buckets the data was split in.
n_estimators_	PiecewiseClassifier	Returns the number of estimators = the number of buckets the data was split in.
n_estimators_	PiecewiseEstimator	Returns the number of estimators = the number of buckets the data was split in.
n_estimators_	PiecewiseRegressor	Returns the number of estimators = the number of buckets the data was split in.
n_features_in_	PipelineCache
named_steps	PipelineCache
norm	TraceableTfidfVectorizer
partial_fit	CustomizedMultilayerPerceptron	Update the model with a single iteration over the given data. Parameters ———- X : {array-like, …
partial_fit	QuantileMLPRegressor	Update the model with a single iteration over the given data. Parameters ———- X : {array-like, …
smooth_idf	TraceableTfidfVectorizer
sublinear_tf	TraceableTfidfVectorizer
transform	PipelineCache	Apply transforms, and transform with the final estimator This also works where final estimator is None: all …
tree_depth_	DecisionTreeLogisticRegression	Returns the maximum depth of the tree.
tree_depth_	_DecisionTreeLogisticRegressionNode	Returns the maximum depth of the tree.
use_idf	TraceableTfidfVectorizer