Hi Oliver
For example 5-cross validation. In the cross_validate function, the
StandardScaler would be fit in the trainning data, generating a model
transformation? Then test data would also be transformed based on this model
transformation. This two steps would be done 5 times.
If I used make_pipeline(StandardScaler(), SVC()), is this right?
Thanks.
Rujing
2019-07-10
charujing123
发件人：Oliver Rausch <oliverrausc...@gmail.com>
发送时间：2019-07-09 17:00
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,
You can integrate the preprocessing into the estimator by placing an estimator
at the end of the pipeline.
For example:
make_pipeline(StandardScaler(), SVC())
This pipeline has a Support vector classifier at the end. Calling a function of
the pipeline, for example fit(X, y), will first apply the StandardScaler to X,
and then use the preprocessed X to fit the SVC.
When you use such an estimator in the cross_validate function, the result is
that the preprocessing will be applied during cross validation, like you wanted.
Let me know if you have more questions.
Oliver
On Tue, Jul 9, 2019 at 03:04 charujing123 <charujing...@163.com> wrote:
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
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Best Regards,
Oliver
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Oliver
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