sklearn.base.TransformerMixin

class sklearn.base.TransformerMixin

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)

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