Need glm to have score()

[pseudotensor]

http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html#sklearn.linear_model.LinearRegression

Parameters:	X : array-like, shape = (n_samples, n_features)Test samples.y : array-like, shape = (n_samples) or (n_samples, n_outputs)True values for X.sample_weight : array-like, shape = [n_samples], optionalSample weights.
score : floatR^2 of self.predict(X) wrt. y.