[scikit-learn] Inquiry on Genetic Algorithm

[Matthieu Brucher]

GA are not a machine learning model, they are a way of minimizing a cost
function, so there are probably modules that are dedicated to this
elsewhere.

Matthieu

Le dim. 30 oct. 2022 à 12:19, Thomas Evangelidis <tevang3 at gmail.com> a
écrit :

> Hi,
>
> I am not aware of any *official* scikit-learn implementation of a genetic
> algorithm. I program my own with DEAP, which is quite versatile:
>
> https://deap.readthedocs.io/en/master/
>
> ~Thomas
>
> On Sun, 30 Oct 2022 at 12:19, Ellarizza Fredeluces via scikit-learn <
> scikit-learn at python.org> wrote:
>
>> Dear Scikit-Learn developers,
>>
>> First of all, thank you for your brilliant work.
>> I would like to ask if a genetic algorithm is available in scikit-learn.
>> I tried to search, but I only found this one
>> <https://pypi.org/project/sklearn-genetic/#:~:text=sklearn-genetic%20is%20a%20genetic,optimal%20values%20of%20a%20function.>.
>> I also checked your website but
>> there seems to be no genetic algorithm yet.
>>
>> Your reply will be highly appreciated. Thank you again.
>>
>> Sincerely,
>> Ella
>> _______________________________________________
>> scikit-learn mailing list
>> scikit-learn at python.org
>> https://mail.python.org/mailman/listinfo/scikit-learn
>>
>
>
> --
>
> ======================================================================
>
> Dr. Thomas Evangelidis
>
> Research Scientist
>
> IOCB - Institute of Organic Chemistry and Biochemistry of the Czech
> Academy of Sciences <https://www.uochb.cz/web/structure/31.html?lang=en>, Prague,
> Czech Republic
>   &
> CEITEC - Central European Institute of Technology <https://www.ceitec.eu/>
> , Brno, Czech Republic
>
> email: tevang3 at gmail.com, Twitter: tevangelidis
> <https://twitter.com/tevangelidis>, LinkedIn: Thomas Evangelidis
> <https://www.linkedin.com/in/thomas-evangelidis-495b45125/>
>
> website: https://sites.google.com/site/thomasevangelidishomepage/
>
>
>
> _______________________________________________
> scikit-learn mailing list
> scikit-learn at python.org
> https://mail.python.org/mailman/listinfo/scikit-learn
>


-- 
Quantitative researcher, Ph.D.
Blog: http://blog.audio-tk.com/
LinkedIn: http://www.linkedin.com/in/matthieubrucher
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mail.python.org/pipermail/scikit-learn/attachments/20221030/3d0513b0/attachment-0001.html>