hi

Lasso and LassoLars support matrices. If you have too many zeros
use a smaller alpha or better use LassoCV or LassoLarsCV to set the
alpha by cross-validation. The LassoCV and LassoLarsCV do
not support matrices though. So use a for loop over the columns of Y.

HTH
Alex

On Wed, Aug 7, 2013 at 11:34 PM, Shishir Pandey <shishir...@gmail.com> wrote:
> Hi
>
> I would like to solve the standard Lasso optimization:
>
>                 (1 / (2 * n_samples)) * ||Y - XW||^2_2 + alpha * ||W||_1
>
>
> Only difference being that I want to take Y to be a matrix. This would
> mean that W is also a matrix. Is it a good idea to use the lasso module
> written in scikit-learn?
>
> I have tried it on a number of matrices generated randomly, the
> optimization forces entire columns to go to zero. The resulting matrix W
> will have many zero columns.
>
>
> Thanks.
>
> --
> sp
>
>
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