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Hi, I love featurewiz!! I got it to work using:
#outputs = featurewiz(df99, target='FSXRNE', corr_limit=0.70, verbose=2, #header=0, test_data='',feature_engg='interactions')
and it worked really well! HOwever, when I use:
outputs = featurewiz(df99, target='FSXRNE', corr_limit=0.70, verbose=2,header=0, category_encoders='OneHotEncoder')
I get:
TypeError: gen_cat_encodet_features() got an unexpected keyword argument 'fitted'
Any ideas on what is going wrong? Thank you!
Sincerely,
tom
The text was updated successfully, but these errors were encountered:
Hi @bbanzai88 👍 There seems to be something wrong with your featurewiz installation in your machine.
I am getting perfect results when I use the latest version 0.1.43 by:
pip install featurewiz --upgrade --ignore-installed --no-deps
Thanks AutoViML (see screenshot below of my version)
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Hi,
I love featurewiz!! I got it to work using:
#outputs = featurewiz(df99, target='FSXRNE', corr_limit=0.70, verbose=2,
#header=0, test_data='',feature_engg='interactions')
and it worked really well! HOwever, when I use:
outputs = featurewiz(df99, target='FSXRNE', corr_limit=0.70, verbose=2,header=0, category_encoders='OneHotEncoder')
I get:
TypeError: gen_cat_encodet_features() got an unexpected keyword argument 'fitted'
Any ideas on what is going wrong? Thank you!
Sincerely,
tom
The text was updated successfully, but these errors were encountered: