Hi I'm have succesfully registered my model using the feature engineering client with the following codes:with mlflow.start_run():
# Calculate the ratio of negative class samples to positive class samples
ratio = (len(y_train) - y_train.sum()...
Thanks for your reply @robbe - yes I have created a custom pyfunc model which I can now use fe.score_batch() to return probabilities. Here is the code:# Calculate the ratio of negative class samples to positive class samples
ratio = (len(y_train) - y...
