what is implemented in the scikit matches the algorithms implemented in SPAMS.
SPAMS implements more like positivity constraints for example.
A real comparison in terms of speed and results has however not been done.

Note that for the positivity constraint we just need to modify
LassoLARS and Lasso
to handle it.

Alex

On Mon, Jan 9, 2012 at 5:12 PM, Vlad Niculae <[email protected]> wrote:
> Short answer, no.
>
> sparse_encode is just a wrapper for funcionality that existed in the
> scikit already (lasso, omp), with support for parallelization. We
> couldn't embed SPAMS anyway, because of the license IIRC.
>
> A benchmark would be interesting indeed.
>
> Vlad
>
>
> On 09.01.2012, at 18:02, Ian Goodfellow <[email protected]> wrote:
>
>> Is decomposition.sparse_encode implemented using SPAMS (
>> http://www.di.ens.fr/~mairal/software_eng.php ) ? If not, does anyone
>> know how the two implementations compare?
>> Thanks,
>> Ian
>>
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