Exactly, thanks for the clarification.
2012/7/10 Olivier Grisel
> Ok so if I understand correctly the sentence:
>
> > The glmnet implementation is not yet competitive with the current
> > implementation.
>
> Should read:
>
> """
> The l1+l2 penalized least square regression implemented with
> co
Dear all,
since the start of the project I've been in continuous exchange with my
mentor (Alexandre Gramfort)
via several pull-request comments. There, I've been reporting my status and
asked for feedback, when needed. The promptly feedback of Alexandre kept me
going and assured me being on the r
Ok so if I understand correctly the sentence:
> The glmnet implementation is not yet competitive with the current
> implementation.
Should read:
"""
The l1+l2 penalized least square regression implemented with
coordinate descent and
covariance updates not yet competitive with the current impleme
"Extremely efficient procedures for fitting the entire lasso or elastic-net
regularization path for linear regression, logistic and multinomial
regression models.
The algorithm uses cyclical coordinate descent in a pathwise fashion, as
described in the paper:
[1] Regularized Paths for Generalize
2012/7/10 iBayer :
> Dear all,
>
> since the start of the project I've been in continuous exchange with my
> mentor (Alexandre Gramfort)
>
> via several pull-request comments. There, I've been reporting my status and
> asked for feedback, when needed. The promptly feedback of Alexandre kept me
> go
Hi All,
The mid-term evaluation is nearing. The deadline for evaluation is next
Friday.
I must confess that I do not have a clear view of what has been going on
with the different projects. This is partly due to the fact that I have
been travelling and giving talks continuously for the last month
