SFS. fit() got an unexpected keyword argument 'fit_params'

[Vladimir Jastrebov]

Python 2.75.

Mlx  0.17.3

Code:

scoring=make_scorer(precision_score, average='weighted')

SFSres = SFS(XGB, k_features=(5, 10), scoring = scoring )

SFSres = SFSres.fit(train_data, train_labels, fit_params={'sample_weight':weights})

Error: fit() got an unexpected keyword argument 'fit_params'

Where is the mistake?

[Sebastian Raschka]

Sorry, I just see that the documentation is incorrect and needs to be updated.  Changing 

SFSres.fit(train_data, train_labels, fit_params={'sample_weight':weights}

to 

SFSres.fit(train_data, train_labels, sample_weight=weights)

should fix it

Best,

Sebastian

[Vladimir Jastrebov]

Thanks for the quick response. Working!

пятница, 25 сентября 2020 г. в 17:39:45 UTC+3, se.ra...@gmail.com: