causalml
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is there any way to predict without installing casualml?
I would like to execute only the prediction task on one server, but it seems like the casuml package must be installed. The casualml package is too large, is there any way to predict without installing casualml?
uplift_model = joblib.load('uplift_model.joblib')
p2 = uplift_model.predict(df[x_names].values)
I want to execute tasks in pyspark, any good suggestions here?