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 <vi...@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.dunn...@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. > > > > >
