(WIP) Sparse models: S-LASSO and TV-l1

- Supports TV-l1 and S-LASSO priors
- Supports logistic and squared losses
- Has cross validation
- Can automatically select alpha by CV (+ automatic computation of useful alpha ranges for the CV)
- Warning: User must supply l1_ratio
Are you ok with loss.py ?


On Mon, Jun 30, 2014 at 6:05 PM, Gael Varoquaux <notifications@github.com>
wrote:

> In nilearn/sparse_models/common.py:
>
> > @@ -0,0 +1,393 @@
> > +"""
>
> This file needs to be called different.
>
> —
> Reply to this email directly or view it on GitHub
> <https://github.com/nilearn/nilearn/pull/219/files#r14358354>.
>



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