_LabelEncoder¶
- class _LabelEncoder[source]¶
Bases:
sklearn.preprocessing._label.LabelEncoder- Inherited-members
Methods
fit(y)Fit label encoder.
Fit label encoder and return encoded labels.
get_params([deep])Get parameters for this estimator.
Transform labels back to original encoding.
set_params(**params)Set the parameters of this estimator.
transform(y, strategy)Transform labels to normalized encoding.
- fit(y)¶
Fit label encoder.
- Parameters
y (array-like of shape (n_samples,)) – Target values.
- Returns
self – Fitted label encoder.
- Return type
returns an instance of self.
- fit_transform(y)¶
Fit label encoder and return encoded labels.
- Parameters
y (array-like of shape (n_samples,)) – Target values.
- Returns
y – Encoded labels.
- Return type
array-like of shape (n_samples,)
- get_params(deep=True)¶
Get parameters for this estimator.
- Parameters
deep (bool, default=True) – If True, will return the parameters for this estimator and contained subobjects that are estimators.
- Returns
params – Parameter names mapped to their values.
- Return type
dict
- inverse_transform(y)¶
Transform labels back to original encoding.
- Parameters
y (ndarray of shape (n_samples,)) – Target values.
- Returns
y – Original encoding.
- Return type
ndarray of shape (n_samples,)
- 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
**params (dict) – Estimator parameters.
- Returns
self – Estimator instance.
- Return type
estimator instance