Pycaret - 'Make_Time_Features' object has no attribute 'list_of_features'

user_8858124 0
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I am trying to create a model using pycaret just as:

from pycaret.classification import *

clf1 = setup(data = dt, target = 'group')
lr = create_model('lr')

Then I get:

AttributeError: 'Simple_Imputer' object has no attribute 'fill_value_categorical'

So, following here, I added:

clf1 = setup(data = dt, target = 'group',  imputation_type='iterative' )
lr = create_model('lr')

Then I get:

AttributeError: 'Make_Time_Features' object has no attribute 'list_of_features'

My version of sklearn is 0.23.2 and pycaret is 2.3.2

pycaret scikit-learn
2 Answers

You mentioned my previous question here.

I just faced the same issue as you on Colab. It is 100% issue with libraries.

Initially, I got the error for SMOTE:

  • `AttributeError: 'SMOTE' object has no attribute '_validate_data'

After installing/reinstalling libraries I got exactly your error.

How did I resolve it?

  • Started to run Colab and imported all common libraries (pd, np, scikit, etc).
  • Installed PyCaret via pip install. Then import pycaret and from pycaret.classification import *
  • Colab reacted: you have issues with scipy, sklearn, lightgbm, please restart your runtime.
  • Restarted my runtime on Colab
  • Imported all libraries again as I did in step 1
  • Ran import pycaret and from pycaret.classification import * only

My final code:

# Initialize the setup with SMOTE
clf_smote = setup(
    data,
    session_id = 123,
    target = 'Target',
    remove_multicollinearity = True,
    multicollinearity_threshold = 0.95, 
    fix_imbalance = True
)

I did not use imputation_type='iterative' as in my question above.

Proof of running:

It worked, but it was my solution. Would be great to have a more detailed guide on how to deal with such issues, using this amazing library.

user_74840930

Interestingly for me pip install scikit-learn==0.23.2 did the trick. It was the version.

user_169877720
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