Python PyCaret How to programmatically define data types in the setup function














































Python PyCaret How to programmatically define data types in the setup function




How to programmatically define data types in the setup function

 
When you initialize the setup function, you will be asked to confirm data types through a user input. More often when you run the scripts as a part of workflows or execute it as remote kernels (for e.g. Kaggle Notebooks), then in such case, it is required to provide the data types programmatically rather than through the user input box.

See example below using %u201Cinsurance%u201D dataset.

Image for post

# import regression module
from pycaret.regression import *

# init setup
reg1 = setup(data, target = 'charges', silent=True, 
            categorical_features=['sex', 'smoker', 'region', 'children'], 
            numeric_features=['age', 'bmi'])

 

The silent parameter is set to True to avoid input, categorical_features parameter takes the name of categorical columns as string, and numeric_features parameter takes the name of numeric columns as a string.

 


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