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sklearn.gaussian_process.regression_models.quadratic

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

Second order polynomial (quadratic, p = n*(n-1)/2+n+1) regression model.

x –> f(x) = [ 1, { x_i, i = 1,...,n }, { x_i * x_j, (i,j) = 1,...,n } ].T
i > j
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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