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sklearn.gaussian_process.regression_models.linear

sklearn.gaussian_process.regression_models.linear(x)[source]

First order polynomial (linear, p = n+1) regression model.

x –> f(x) = [ 1, x_1, ..., x_n ].T

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.

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