spell.
*From:* luiz...@gmail.com
*Sent:* 19 September 2018 7:12 pm
*To:* scikit-learn@python.org
*Reply to:* scikit-learn@python.org
*Subject:* Re: [scikit-learn] Issues with clone for ensemble of,
classifiers
Guillaume - thank you for the comments. Indeed, an approach to
"freeze" a fi
learn@python.orgSubject: Re: [scikit-learn] Issues with clone for ensemble of, classifiers Guillaume - thank you for the comments. Indeed, an approach to
"freeze" a fitted classifier would solve our problem. The Github issue seems
to be inactive for a while, but I will check if anyone
ics:
>
>1. Re: Issues with clone for ensemble of classifiers
> (Guillaume Lema?tre)
>
>
> --
>
> Message: 1
> Date: Wed, 19 Sep 2018 17:38:46 +0200
> From: Guillaume Lema?tre
> To: Sci
However, there is some issue to frozen a fitted classifier. You can refer to:
https://github.com/scikit-learn/scikit-learn/issues/8370
with the associated discussion.
On Wed, 19 Sep 2018 at 17:34, Guillaume Lemaître wrote:
>
> Ups I misread your comment. I don't think that we have currently a
>
Ups I misread your comment. I don't think that we have currently a
mechanism to avoid cloning classifier internally.
On Wed, 19 Sep 2018 at 17:31, Guillaume Lemaître wrote:
>
> You don't have anywhere in your class MyClassifier where you are
> calling base_classifier.fit(...) therefore when callin
You don't have anywhere in your class MyClassifier where you are
calling base_classifier.fit(...) therefore when calling
base_classifier.predict(...) it will let you know that you did not fit
it.
On Wed, 19 Sep 2018 at 16:43, Luiz Gustavo Hafemann wrote:
>
> Hello,
>
> I am one of the developers
Hello,
I am one of the developers of a library for Dynamic Ensemble Selection
(DES) methods (the library is called DESlib), and we are currently working
to get the library fully compatible with scikit-learn (to submit it to
scikit-learn-contrib). We have "check_estimator" working for most of the
c
