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From Ted Dunning <ted.dunn...@gmail.com>
Subject Re: [math] autocorr
Date Mon, 27 Sep 2010 18:58:25 GMT
Mahout has logistic regression (= logit regression, I think) based on
stochastic gradient descent and
optimized for sparse features.  It might be useful for you as a starting
point.

If you produce reasonably scalable regression code, then Mahout is a great
place for it.

On Mon, Sep 27, 2010 at 10:59 AM, video axescon <video@axescon.com> wrote:

> Cholesky decomposition is used often for generating correlated random
> sequences.
>
> if I wanted to update OLS/GLM type of regressions and add Logit regression
> estimation. do you think Mahout could be the right place to contribute? or
> does it sound that it's outside Mahout's domain?
>
> On Mon, Sep 27, 2010 at 1:39 PM, Ted Dunning <ted.dunning@gmail.com>
> wrote:
>
> > Mahout's primary math support is inherited from Colt, but we are actively
> > deleting capabilities from Colt that we don't think
> > will contribute to scalable data mining goal because if we are going to
> use
> > any capability from Colt, we need to spend significant
> > effort to build tests for the code and we don't want to carry around a
> > bunch
> > of code that isn't useful.
> >
> >
>

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