sklearn.gaussian_process.regression_models.constant¶
- sklearn.gaussian_process.regression_models.constant(x)¶
Zero order polynomial (constant, p = 1) regression model.
x –> f(x) = 1
Parameters : x : array_like
An array with shape (n_eval, n_features) giving the locations x at which the regression model should be evaluated.
Returns : f : array_like
An array with shape (n_eval, p) with the values of the regression model.