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 <joel.noth...@gmail.com>
wrote:

> +1
>
> On 28 August 2015 at 04:23, Andreas Mueller <t3k...@gmail.com> 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 <t3k...@gmail.com> 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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