new and small PR is best.

On 29 August 2015 at 03:35, Valentin Stolbunov <[email protected]
> wrote:

> Sounds good. Does anyone happen to know of any PRs that are related and
> close to being accepted? Or do you think a new PR is the best option in
> this case?
>
> On Thu, Aug 27, 2015 at 6:33 PM, Joel Nothman <[email protected]>
> wrote:
>
>> +1
>>
>> On 28 August 2015 at 04:23, Andreas Mueller <[email protected]> wrote:
>>
>>> I think it would be fine to enable it now without support in all solvers.
>>>
>>>
>>> On 8/27/2015 11:29 AM, Valentin Stolbunov wrote:
>>>
>>> Joel, I see you've done some work in that PR. Is an additional review
>>> all that's needed there? Looks like changes in Logistic Regression CV broke
>>> the original contribution and it has since stalled (over 1 year ago).
>>>
>>> I guess the big question is: what is the best way to get sample weights
>>> in LR? Would it be to wait for progress in that PR and have weights for all
>>> solvers, or simply "enable" them in the other two solvers via the rough
>>> steps I outlined earlier?
>>>
>>> On Wed, Aug 26, 2015 at 9:59 PM, Andy <[email protected]> wrote:
>>>
>>>> On 08/26/2015 09:29 PM, Joel Nothman wrote:
>>>> > I agree. I suspect this was an unintentional omission, in fact.
>>>> >
>>>> > Apart from which, sample_weight support in liblinear could be merged
>>>> > from https://github.com/scikit-learn/scikit-learn/pull/2784 which is
>>>> > dormant, and merely needs some core contributors to show interest in
>>>> > merging it...
>>>> >
>>>> "merely" ;)
>>>>
>>>>
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