ó áp7]c@s,dZddlZdefd„ƒYZdS(sM Created on Tue May 27 13:23:24 2014 Author: Josef Perktold License: BSD-3 i˙˙˙˙NtStandardizeTransformcBs8eZdZdded„Zd„Zd„ZeZRS(sCclass to reparameterize a model for standardized exog Parameters ---------- data : array_like data that is standardized along axis=0 ddof : None or int degrees of freedom for calculation of standard deviation. default is 1, in contrast to numpy.std const_idx : None or int If None, then the presence of a constant is detected if the standard deviation of a column is **equal** to zero. A constant column is not transformed. If this is an integer, then the corresponding column will not be transformed. demean : bool, default is True If demean is true, then the data will be demeaned, otherwise it will only be rescaled. Notes ----- Warning: Not all options are tested and it is written for one use case. API changes are expected. This can be used to transform only the design matrix, exog, in a model, which is required in some discrete models when the endog cannot be rescaled or demeaned. The transformation is full rank and does not drop the constant. icCsŮtj|ƒ}|jdƒ|_|jdddƒ|_|dkr‹tj|jdkƒd}t|ƒdkr|d}q‹t|ƒ}n|dkr´d|j|standardize the data using the stored transformation N(RRRRR(RR((s@lib/python2.7/site-packages/statsmodels/tools/transform_model.pyt transformBscCsC||j}|jdkr?||jc||jjƒ8s