Properties#

Summary#

property

class parent

truncated documentation

Keys

SkLearnParameters

Returns parameter names.

_estimator_type

PipelineCache

_final_estimator

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

The classes labels. Only exist if the last step is a classifier.

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 …

feature_names_in_

PipelineCache

Names of features seen during first step fit method.

idf_

TraceableTfidfVectorizer

Inverse document frequency vector, only defined if use_idf=True. Returns ——- ndarray of shape …

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_

PiecewiseTreeRegressor

DEPRECATED: The attribute n_features_ is deprecated in 1.0 and will be removed in 1.2. Use n_features_in_ instead.

n_features_in_

PipelineCache

Number of features seen during first step fit method.

named_steps

PipelineCache

Access the steps by name. Read-only attribute to access any step by given name. Keys are steps names and …

tree_depth_

DecisionTreeLogisticRegression

Returns the maximum depth of the tree.

tree_depth_

_DecisionTreeLogisticRegressionNode

Returns the maximum depth of the tree.