[scikit-learn] Predictive probability from cross_validate

[Guillaume Lemaître]

cross_validate should not be used to make predictions but to evaluate the
performance, the parameter, etc of models.
You probably want to check cross_val_predict to get the prediction.
However, be aware of what it involves:
https://scikit-learn.org/stable/modules/cross_validation.html#obtaining-predictions-by-cross-validation

On Mon, 5 Aug 2019 at 16:57, Rujing Zha <charujing123 at 163.com> wrote:

>
> Hi
> How to acquire the probability in the cross_validate function?
> Thanks
> Rujing
>
>
>
> --
> 发自我的网易邮箱手机智能版
>
>
>
> 在 2019-08-05 22:31:38，"Andreas Mueller" <t3kcit at gmail.com> 写道：
>
> As usual, I agree ;)
> I think it would be good to call out particularly important bugfixes so
> they get reviews.
> We might also want to think about how we can organize the issue tracker
> better.
>
> Having more full-time people on the project certainly means more activity
> but ideally we can use some of that time to make the issue tracker more
> organized.
>
>
> On 8/5/19 9:21 AM, Joel Nothman wrote:
>
> Yay for technology! Awesome to see you all and have some matters
> clarified.
>
> Adrin is right that the issue tracker is increasingly overwhelming
> (because there are more awesome people hired to work on the project, more
> frequent sprints, etc). This meeting is a useful summary.
>
> The meeting mostly focussed on big features. We should be careful to not
> leave behind important bugs fixes and work originating outside the core
> devs.
>
> Despite that: Some of Guillaume's activities got cut off. I think it would
> be great to progress both on stacking and resampling before the next
> release.
>
> I also think these meetings should, as a standing item, note the estimated
> upcoming release schedule, to help us remain aware of that cadence.
>
> Good night!
>
> J
>
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-- 
Guillaume Lemaitre
INRIA Saclay - Parietal team
Center for Data Science Paris-Saclay
https://glemaitre.github.io/
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