skactiveml.utils.ExtLabelEncoder

class skactiveml.utils.ExtLabelEncoder(classes=None, missing_label=nan)

Bases: BaseEstimator

Encode class labels with value between 0 and classes-1 and uses -1 for unlabeled samples. This transformer should be used to encode class labels, i.e. y, and not the input X.

Parameters

classesarray-like of shape (n_classes,), default=None

Holds the label for each class.

missing_labelscalar or string or np.nan or None, default=np.nan

Value to represent a missing label.

Attributes

classes_np.ndarray of shape (n_classes,)

Holds the label for each class.

Methods

fit(y)	Fit label encoder.
fit_transform(y)	Fit label encoder and return encoded labels.
get_metadata_routing()	Get metadata routing of this object.
get_params([deep])	Get parameters for this estimator.
inverse_transform(y)	Transform labels back to original encoding.
set_params(**params)	Set the parameters of this estimator.
transform(y)	Transform labels to new class encoding.

fit(y)

Fit label encoder.

Parameters

yarray-like of shape (n_samples,) or (n_samples, n_outputs)

Class labels.

Returns

selfExtLabelEncoder

Returns an instance of ExtLabelEncoder.

fit_transform(y)

Fit label encoder and return encoded labels.

Parameters

yarray-like of shape (n_samples,) or (n_samples, n_outputs)

Class labels.

Returns

ynp.ndarray shape (n_samples,) or (n_samples, n_outputs)

Class labels.

get_metadata_routing()

Get metadata routing of this object.

Please check User Guide on how the routing mechanism works.

Returns

routingMetadataRequest

A MetadataRequest encapsulating routing information.

get_params(deep=True)

Get parameters for this estimator.

Parameters

deepbool, default=True

If True, will return the parameters for this estimator and contained subobjects that are estimators.

Returns

paramsdict

Parameter names mapped to their values.

inverse_transform(y)

Transform labels back to original encoding.

Parameters

ynumpy array of shape (n_samples,) or (n_samples, n_outputs)

Encoded class labels.

Returns

y_decnp.ndarray of shape (n_samples,) or (n_samples, n_outputs)

Decoded (original) class labels.

set_params(**params)

Set the parameters of this estimator.

The method works on simple estimators as well as on nested objects (such as Pipeline). The latter have parameters of the form <component>__<parameter> so that it’s possible to update each component of a nested object.

Parameters

**paramsdict

Estimator parameters.

Returns

selfestimator instance

Estimator instance.

transform(y)

Transform labels to new class encoding.

Parameters

yarray-like of shape (n_samples,) or (n_samples, n_outputs)

Original class labels.

Returns

y_encarray-like of shape (n_samples) or (n_samples, n_outputs)

Encoded class labels.