Hi Oliver,
Thanks for your kind reply. I read the manual, however, i did not find any
options in the function of cross_validate to control the fit transformation.
The fit_transform could be used to preprocessing in the pipeline, however, how
to integrate this into the function of sklearn.model_selection.cross_validate?
Thanks.
Rujing
2019-07-09
charujing123
发件人:Oliver Rausch <oliverrausc...@gmail.com>
发送时间:2019-07-07 16:03
主题:Re: [scikit-learn] how to preprocess in the cross_validate
收件人:"Scikit-learn mailing list"<scikit-learn@python.org>
抄送:
Hi Rujing,
The Pipeline [0] from sklearn may be of interest to you.
Best regards,
Oliver
—
[0] https://scikit-learn.org/stable/modules/compose.html
On Sun, Jul 7, 2019 at 08:50 charujing123 <charujing...@163.com> wrote:
Hi
It's easy to preprocess when i used part of data to train and test. However,
how to preprocess within the function of sklearn.model_selection.cross_validate?
Thanks.
Rujing
2019-07-07
charujing123
_______________________________________________
scikit-learn mailing list
scikit-learn@python.org
https://mail.python.org/mailman/listinfo/scikit-learn
--
Best Regards,
Oliver
_______________________________________________
scikit-learn mailing list
scikit-learn@python.org
https://mail.python.org/mailman/listinfo/scikit-learn