hi Clemens,

you might want to look at the open issues on the topic.

A

On Mon, Feb 17, 2014 at 12:52 PM, Clemens Brunner
<clemens.brun...@tugraz.at> wrote:
> Hi there!
>
> I would like to use a shrinkage LDA classifier (that is, LDA with Ledoit-Wolf
> covariance estimation). However, I have only found the two necessary 
> ingredients
> in separate modules/classes: sklearn.lda.LDA and 
> sklearn.covariance.LedoitWolf.
>
> What would be the recommended way to combine these two into a shrinkage LDA
> classifier? Should I create a new class sklearn.lda.sLDA? Unfortunately, I
> cannot just modify the existing LDA class, because it uses SVD and not 
> explicit
> covariance estimators to implement LDA. Would it make sense to implement an
> alternative LDA which uses direct estimations of covariance matrices? Then the
> user could use any type of regularization offered by sklearn.covariance to
> produce a regularized LDA classifier.
>
> Thanks in advance,
> Clemens
>
>
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