per of libsvm does automatic scaling, while we
> apply
> > the SVM.
> >
> > We could add "this model does not do any automatic preprocessing" to all
> > docstrings, but that seems
> > a bit redundant. We could add it to
> > https://github.com/scikit-
pca
> Message-ID: <35142868-fce9-6cb3-eba3-015a0b106...@gmail.com>
> Content-Type: text/plain; charset="utf-8"; Format="flowed"
>
>
>
> On 10/16/2017 02:27 PM, Ismael Lemhadri wrote:
> > @Andreas Muller:
> > My references do not assume centering
ge-ID: <04fc445c-d8f3-a3a9-4ab2-0535826a2...@gmail.com>
> Content-Type: text/plain; charset="utf-8"; Format="flowed"
>
> The definition of PCA has a centering step, but no scaling step.
>
> On 10/16/2017 11:16 AM, Ismael Lemhadri wrote:
> > Dear Roman
...@python.org
>
> When replying, please edit your Subject line so it is more specific
> than "Re: Contents of scikit-learn digest..."
>
>
> Today's Topics:
>
>1. unclear help file for sklearn.decomposition.pca (Ismael Lemhadri)
>2. Re: unclear help
yield
the same results. I expect that many students have confronted this problem
before...
Best,
Ismael Lemhadri
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