ó ‡ˆ\c@shdZddlZddlmZddlmZddlmZddl m Z de e d „Z dS( sHelpers for preprocessingi˙˙˙˙N(tsparsei(t check_array(t FLOAT_DTYPES(tsixtallc Csät|ddd|dtƒ}tj|ƒrB|rBtdƒ‚nt|tjƒrj|dkrj||ƒSt|ƒdkr€|S|j d}t j |ƒ}t j |dt ƒ}t|t j|ƒ 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) t accept_sparsetcsctcopytdtypesCThe retain_order option can only be set to True for dense matrices.RiiNsƒThe retain_order option can only be set to True if the dimensions of the input array match the dimensions of the transformed array.(RRRtissparset ValueErrort isinstanceRt string_typestlentshapetnptarangetzerostbooltTruetasarrayt logical_nottsumtastypethstack( tXt transformRtselectedRt retain_ordert n_featurestindtseltnot_selt n_selectedtX_selt X_not_sel((s9lib/python2.7/site-packages/sklearn/preprocessing/base.pyt_transform_selected s6"      #(t__doc__tnumpyRtscipyRtutilsRtutils.validationRt externalsRRtFalseR$(((s9lib/python2.7/site-packages/sklearn/preprocessing/base.pyts