Counterfactual Generation for only Categorical Features

[pedramsalimi]

Hello,
I am trying to generate counterfactuals for a dataset that only contains categorical features so I want to define my data interface but when I specify continuous_features to None or even not specify it I will get this error:
ValueError: should provide the name(s) of continuous features in the data as a list

My code:

d_rec = dice_ml.Data(dataframe=data,
continuous_features=None,
categorical_features=categorical_features,
outcome_name=outcome_name)

Many thanks,

[Chirayu-Tripathi]

You can pass empty list:
d_rec = dice_ml.Data(dataframe=data, continuous_features=[], categorical_features=categorical_features, outcome_name=outcome_name)