sklearn.base.RegressorMixin

class sklearn.base.RegressorMixin

Mixin class for all regression estimators in scikit-learn.

Methods

score(X, y)

Returns the coefficient of determination R^2 of the prediction.

__init__()

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

score(X, y)

Returns the coefficient of determination R^2 of the prediction.

The coefficient R^2 is defined as (1 - u/v), where u is the regression sum of squares ((y_true - y_pred) ** 2).sum() and v is the residual sum of squares ((y_true - y_true.mean()) ** 2).sum(). Best possible score is 1.0, lower values are worse.

Parameters :

X : array-like, shape = (n_samples, n_features)

Test samples.

y : array-like, shape = (n_samples,)

True values for X.

Returns :

score : float

R^2 of self.predict(X) wrt. y.