Specifically I have the biclustering in mind but I think there are
more in this situation.
Thanks to the effective [MRG] tag it should be just a matter of
choosing a subset of this.
Vlad
On Fri, Dec 27, 2013 at 1:30 PM, Andy wrote:
> On 12/27/2013 12:27 PM, Vlad Niculae wrote:
>> I think there
On 12/27/2013 12:27 PM, Vlad Niculae wrote:
> I think there might be quite a bit of PRs that are "almost there" but
> stalled right before the finish line. I think (some of) these should
> be chosen for inclusion in the estimator freeze, right?
The ones that are "almost there" and that we are sure
I think there might be quite a bit of PRs that are "almost there" but
stalled right before the finish line. I think (some of) these should
be chosen for inclusion in the estimator freeze, right?
Vlad
On Fri, Dec 27, 2013 at 1:22 PM, Andy wrote:
> Hey everybody.
> On NIPS I talked to Gael and Gil
Hey everybody.
On NIPS I talked to Gael and Gilles about a possible feature / estimator
freeze for 1.0.
The idea would be to not add new classes or major features before
sorting out what we have.
We would take in some things that are still in the pipeline, such as the
neural net, but not accept
Hey everybody.
On NIPS I talked to Gael and Gilles about a possible feature / estimator
freeze for 1.0.
The idea would be to not add new classes or major features before
sorting out what we have.
We would take in some things that are still in the pipeline, such as the
neural net, but not accept
On 12/17/2013 11:39 AM, Joel Nothman wrote:
> I think alpha = 1/2C
>
I think alpha = n_samples / C (not sure about the 2)
--
Rapidly troubleshoot problems before they affect your business. Most IT
organizations don't ha
