paramselect.py 文件源码

def _build_feature_matrix(prop, features, desired_data):
    transformed_features = sympy.Matrix([feature_transforms[prop](i) for i in features])
    all_samples = get_samples(desired_data)
    feature_matrix = np.empty((len(all_samples), len(transformed_features)), dtype=np.float)
    feature_matrix[:, :] = [transformed_features.subs({v.T: temp, 'YS': compf[0],
                                                       'Z': compf[1]}).evalf()
                            for temp, compf in all_samples]
    return feature_matrix