hi
this function is exactly what i wanted. However, the description of this
function contained this: Passing these predictions into an evaluation metric
may not be a valid way to measure generalization performance.
Could i use this prediction to calculate the accuracy? I am not sure after
seeing this sentence.
Thanks.
2019-08-13
charujing123
发件人：Guillaume Lemaître <g.lemaitr...@gmail.com>
发送时间：2019-08-12 23:16
主题：Re: [scikit-learn] Predictive probability from cross_validate
收件人："Scikit-learn mailing list"<scikit-learn@python.org>
抄送：
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 <charujing...@163.com> wrote:
Hi
How to acquire the probability in the cross_validate function?
Thanks
Rujing
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在 2019-08-05 22:31:38，"Andreas Mueller" <t3k...@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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