B ¦ ˆ\” ć@sJdZddlZddlmZddlmZddlmZddl m Z d d d „Z dS)zHelpers for preprocessingéN)Śsparseé)Ś check_array)Ś FLOAT_DTYPES)ŚsixŚallTFc Cs\t|d|td}t |”r&|r&tdƒ‚t|tjƒrB|dkrB||ƒSt|ƒdkrR|S|j d}t   |”}t j |t d}d|t  |”<t  |”} t  |”} | dkr¢|S| |kr²||ƒS||d d …||fƒ} |d d …|| f |”} |r$| j d| j d|kr td ƒ‚| |d d …||f<|St | ”s X_transformed dtype : number type Desired dtype of output. copy : boolean, default=True Copy X even if it could be avoided. selected : "all" or array of indices or mask Specify which features to apply the transform to. retain_order : boolean, default=False If True, the non-selected features will not be displaced to the right side of the transformed array. The number of features in Xt must match the number of features in X. Furthermore, X and Xt cannot be sparse. Returns ------- Xt : array or sparse matrix, shape=(n_samples, n_features_new) Zcsc)Z accept_sparseŚcopyŚdtypezCThe retain_order option can only be set to True for dense matrices.rré)r TNzƒThe retain_order option can only be set to True if the dimensions of the input array match the dimensions of the transformed array.)rrrZissparseŚ ValueErrorŚ isinstancerZ string_typesŚlenŚshapeŚnpZarangeZzerosŚboolZasarrayZ logical_notŚsumZastypeZhstack) ŚXZ transformr ZselectedrZ retain_orderZ n_featuresZindZselZnot_selZ n_selectedZX_selZ X_not_sel©rś9lib/python3.7/site-packages/sklearn/preprocessing/base.pyŚ_transform_selected s6"     r)rTF) Ś__doc__ZnumpyrZscipyrZutilsrZutils.validationrZ externalsrrrrrrŚs