As with any other estimators in the scikit-learn API, these model parameters are stored in attributes of the estimator object after fit() is called. See the Attributes section of the class documentation.
On 17 August 2014 11:39, Pagliari, Roberto <[email protected]> wrote: > It does not return mean and variance, which is what I am interested about > . isn’t it? > > > > > > *From:* Hamed Zamani [mailto:[email protected]] > *Sent:* Saturday, August 16, 2014 7:15 PM > *To:* [email protected] > *Subject:* Re: [Scikit-learn-general] normalizing values (preprocessing) > > > > Hi, > > > > This link may help you: > http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.scale.html > > > > Any way, Scikit has a great documentations which you can search and find > everything there easily. > > > > Regards, > > Hamed > > > > > > On Sun, Aug 17, 2014 at 3:42 AM, Pagliari, Roberto < > [email protected]> wrote: > > Is there a built-in function such as scale, to scale a matrix and use mean > and variances to normalize some other matrix? > > > > ------------------------------------------------------------------------------ > > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > > > > ------------------------------------------------------------------------------ > > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > >
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