Hi Every one,
I hope you are all well.
If you have any problem with the repository or have any idea, I am here to hear from you
Thanks for considering this,
Best Regard,
MJ Bahmani

Traceback (most recent call last):
File "", line 1, in
File "//miniconda3/envs/sklearn/lib/python3.7/site-packages/sklearn_porter/Porter.py", line 61, in init
sklearn_ver = [int(v) for v in sklearn_ver]
File "//miniconda3/envs/sklearn/lib/python3.7/site-packages/sklearn_porter/Porter.py", line 61, in
sklearn_ver = [int(v) for v in sklearn_ver]
Val

• Unable to supply validation_data to a Keras CVExperiment via model_extra_params[“fit”]
• This is because HyperparameterHunter automatically sets validation_data to be the OOF data produced by the cross validation scheme
• I can imagine this would be unexpected behavior, so I’d love to hear any thoughts on how to clear this up

Note

• This issue (along with several others) was ori

could you add ensemble of all ml algorithms you trained as an example? I want to learn how to do it from you, thanks!

It will be a lot more helpful for fellow data scientist, if these two functionalities can be added.

Information value:
http://ucanalytics.com/blogs/information-value-and-weight-of-evidencebanking-case/

The library is generating lot of warnings (text below).

sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.svm.classes module is deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.svm. Anything that cannot be imported from sklearn.svm is now part of the private API.

warnings.warn(message, Fut