How to implement predict_proba() with spark.ml logistic regression

In sklearn it is possible to use the predict_proba() function to obtain the probability matrix.

Since in spark.ml that function is not implemented, how can I implement it?

The model.transform (dataset) function indeed generates a field called probability. Apparently, it is not the same probability matrix since it is different from the one produced by sklearn. Thanks for your help.