[scikit-learn] SVM-RFE

[Malik Yousef]

It does not provide access for tracing the step by step feature weights and
predictive ability- The user provides the n_feature.

Malik

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*Prof. Malik Yousef (Associate Professor)  *
*The Head of the** Galilee Digital Health Research Center (GDH)*

*Zefat Academic College , Department of Information System  *
Home Page:
https://malikyousef.com/
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On Mon, Nov 25, 2019 at 1:36 PM Brown J.B. via scikit-learn <
scikit-learn at python.org> wrote:

>
> 2019年11月23日(土) 2:12 Andreas Mueller <t3kcit at gmail.com>:
>
>> I think you can also use RFECV directly without doing any wrapping.
>>
>> Your request to do performance checking of the steps of SVM-RFE is a
>> pretty common task.
>>
>>
> Yes, RFECV works well (and I should know as an appreciative long-time user
> ;-)  ), but does it actually provide a mechanism (accessors) for tracing
> the step by step feature weights and predictive ability as the features are
> continually reduced?
> (Or perhaps it's because I'm looking at 0.20.1 and 0.21.2
> documentation...?)
>
> J.B.
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