ó ‡ˆ\c@sedZddlZddlmZedƒd„ƒZedƒd„ƒZed ƒd „ƒZdS( sK The built-in regression models submodule for the gaussian_process module. iÿÿÿÿNi(t deprecatedsgThe function constant of regression_models is deprecated in version 0.19.1 and will be removed in 0.22.cCs>tj|dtjƒ}|jd}tj|dgƒ}|S(s‘ 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. tdtypeii(tnptasarraytfloat64tshapetones(txtn_evaltf((sIlib/python2.7/site-packages/sklearn/gaussian_process/regression_models.pytconstants seThe function linear of regression_models is deprecated in version 0.19.1 and will be removed in 0.22.cCsMtj|dtjƒ}|jd}tjtj|dgƒ|gƒ}|S(s§ 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. Rii(RRRRthstackR(RRR ((sIlib/python2.7/site-packages/sklearn/gaussian_process/regression_models.pytlinear*s $shThe function quadratic of regression_models is deprecated in version 0.19.1 and will be removed in 0.22.cCs«tj|dtjƒ}|j\}}tjtj|dgƒ|gƒ}xYt|ƒD]K}tj||dd…|tjf|dd…|d…fgƒ}qXW|S(s 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. RiN(RRRRR Rtrangetnewaxis(RRt n_featuresR tk((sIlib/python2.7/site-packages/sklearn/gaussian_process/regression_models.pyt quadraticDs $I(t__doc__tnumpyRtutilsRR R R(((sIlib/python2.7/site-packages/sklearn/gaussian_process/regression_models.pyt s