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sklearn.base.TransformerMixin

class sklearn.base.TransformerMixin [source]

Mixin class for all transformers in scikit-learn.

Methods

fit_transform(X[, y]) Fit to data, then transform it.
__init__()

Initialize self. See help(type(self)) for accurate signature.

fit_transform(X, y=None, **fit_params) [source]

Fit to data, then transform it.

Fits transformer to X and y with optional parameters fit_params and returns a transformed version of X.

Parameters:

X : numpy array of shape [n_samples, n_features]

Training set.

y : numpy array of shape [n_samples]

Target values.

Returns:

X_new : numpy array of shape [n_samples, n_features_new]

Transformed array.

Examples using sklearn.base.TransformerMixin

© 2007–2017 The scikit-learn developers
Licensed under the 3-clause BSD License.
http://scikit-learn.org/stable/modules/generated/sklearn.base.TransformerMixin.html