Causaltune error (fit() missing 2 required positional arguments)

Question

I am trying to rebuild Random assignment, binary CATE example for my dataset. Coming to ct.fit(data=cd, outcome=cd.outcomes[0]) I get the error TypeError: fit() missing 2 required positional arguments: 'treatment_name' and 'outcome_name'

Everything before that runs without any problems

This is the codeblock:

ct = CausalTune(
    estimator_list=estimator_list,
    metric=metric,
    verbose=0,
    components_verbose=0,
    time_budget=time_budget,
    components_time_budget=components_time_budget,
    train_size=train_size
)


# run causaltune
ct.fit(data=cd, outcome=cd.outcomes[0])

print('---------------------')
# return best estimator
print(f"Best estimator: {ct.best_estimator}")
# config of best estimator:
print(f"Best config: {ct.best_config}")
# best score:
print(f"Best score: {ct.best_score}")

After preprocessing my dataset looks like this: (with successful being the outcome and treatment being the treatment)

treatment	successful	random	NumberOfTerms	MonthlyCost	CreditScore	OfferedAmount
0	0	0.0	22.0	241.279999	0.0	5000.0
0	0	0.0	22.0	241.279999	0.0	5000.0
0	0	1.0	22.0	241.279999	0.0	5000.0
0	0	1.0	22.0	241.279999	0.0	5000.0
0	0	1.0	22.0	241.279999	0.0	5000.0

Does anyone know of a solution?

I do not know why this error occurs, I tried using different estimators but that does not fix the issue. Printing cd.outcomes[0] gives successful so the error does not seem to lie there.