adding categorical compatibility in xgboost trainer #2
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This PR addresses the errors encountered during xgboost training for the columns
['Lipinski', 'GhoseFilter']as they're categorical.Addresses this error while training:
ValueError: DataFrame.dtypes for data must be int, float, bool or category. When categorical type is supplied, The experimental DMatrix parameterenable_categoricalmust be set toTrue. Invalid columns:Lipinski: object, GhoseFilter: object