sklearn.feature_selection
.SelectorMixin¶
-
class
sklearn.feature_selection.
SelectorMixin
[source]¶ Transformer mixin that performs feature selection given a support mask
This mixin provides a feature selector implementation with
transform
andinverse_transform
functionality given an implementation of_get_support_mask
.Methods
fit_transform
(X[, y])Fit to data, then transform it.
get_support
([indices])Get a mask, or integer index, of the features selected
Reverse the transformation operation
transform
(X)Reduce X to the selected features.
-
fit_transform
(X, y=None, **fit_params)[source]¶ Fit to data, then transform it.
Fits transformer to
X
andy
with optional parametersfit_params
and returns a transformed version ofX
.- Parameters
- Xarray-like of shape (n_samples, n_features)
Input samples.
- yarray-like of shape (n_samples,) or (n_samples, n_outputs), default=None
Target values (None for unsupervised transformations).
- **fit_paramsdict
Additional fit parameters.
- Returns
- X_newndarray array of shape (n_samples, n_features_new)
Transformed array.
-
get_support
(indices=False)[source]¶ Get a mask, or integer index, of the features selected
- Parameters
- indicesbool, default=False
If True, the return value will be an array of integers, rather than a boolean mask.
- Returns
- supportarray
An index that selects the retained features from a feature vector. If
indices
is False, this is a boolean array of shape [# input features], in which an element is True iff its corresponding feature is selected for retention. Ifindices
is True, this is an integer array of shape [# output features] whose values are indices into the input feature vector.
-