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__()

x.__init__(...) initializes x; see help(type(x)) for 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

Feature Union with Heterogeneous Data Sources