Can not obtained auuc score via auuc_score (from causalml.metrics import auuc_score)

[zyq11223]

I want to calculate auuc score via function auuc_score (from causalml.metrics import auuc_score)
score = auuc_score(df=test_df, outcome_col='y', treament_col='w', uplift_col='tau')

The score variable obtained through the function auuc_score consists of feature column names and their corresponding single values, which is inconsistent with the underlying code implementation.

The version of causalml is 0.15.5

[paullo0106]

hi @zyq11223 , thanks for reaching out. I was wondering did you accidentally pass in the raw training data, test_df? The df argument should be a DataFrame with model estimates as defined here. Take feature_selection.ipynb for example; the input df looks like the following screenshot.