nomials of the original features for given feature xwe might want to consider * * * and so on this is implemented in polynomialfeatures in the preprocessing modulein[ ]from sklearn preprocessing import polynomialfeatures include polynomials up to * the default "include_bias=trueadds feature that' constantly poly polynomialfeatures(degree= include_bias=falsepoly fit(xx_poly poly transform(xusing degree of yields featuresin[ ]print("x_poly shape{}format(x_poly shape)out[ ]x_poly shape( let' compare the entries of x_poly to those of xin[ ]print("entries of :\ {}format( [: ])print("entries of x_poly:\ {}format(x_poly[: ])out[ ]entries of [[- [- ]entries of x_poly[- - - - - - - - ]- - you can obtain the semantics of the features by calling the get_feature_names methodwhich provides the exponent for each featureinteractions and polynomials