Can Redshift ML generated function return the probability value for binary classification?

We tried the tutorial at https://docs.aws.amazon.com/redshift/latest/dg/tutorial_customer_churn.html for Redshift ML, and were able to get the results in the tutorial. However, we'd like get the prediction with the probability, or just the probability of "TRUE". For instance, the sample SQL statement

SELECT phone, ml_fn_customer_churn_auto( state, account_length, area_code, total_charge/account_length,  cust_serv_calls/account_length ) AS active FROM customer_activity WHERE record_date > '2020-01-01';

returns

phone	active
329-9001	False
335-4719	True
330-8173	False
351-7269	True

What we'd like to have is

phone	active	probability of True
329-9001	False	0.235
335-4719	True	0.621
330-8173	False	0.442
351-7269	True	0.893

or the above table without the "active" column.

Can this be done with "CREATE MODEL" statement? Any other suggestion to get it?

Thanks in advance.