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_

PiecewiseTreeRegressor

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_classes_

PiecewiseTreeRegressor

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