ormalesup.org>
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On Mon, Jul 06, 2015 at 04:55:07PM -0400, Deepak Subburam wrote:
I have some time
to contribute, and would like to implement a
sample_weight option to the
nd
whether the NIPALS implementation is fast and stable enough, and the
appropriate choice in all cases.
On 07/07/2015 04:51 PM, Deepak Subburam wrote:
> Cool. I spent some time inspecting the pls_.py source file. There are a
> whole lot of if conditions prevalent in the code (on
> deflation_mode=
Gael Varoquaux
> Subject: Re: [Scikit-learn-general] Planning on implementing
> sample_weight option for PLSRegression.fit()
> To:scikit-learn-general@lists.sourceforge.net
> Message-ID:<20150707000341.ga2996...@phare.normalesup.org>
> Content-Type: text/plain; charset=us
Hi,
I have some time to contribute, and would like to implement a
sample_weight option to the fit() method of
sklearn.cross_decomposition.PLSRegression, handling any other knock-on
effects. Let me know if you think this is not a good idea, or have any
other thoughts to guide me.
Thanks,
Deepa
