sklearn.base.TransformerMixin — scikit-learn 0.20.4 documentation (original) (raw)

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__($self, /, *args, **kwargs)

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