Question

You are deploying a scikit-learn model to an Azure Machine Learning batch endpoint using a custom scoring script. During execution, the endpoint must process thousands of CSV files, and each mini-batch should return one row of predictions per input row. Which function in your scoring script is responsible for processing each mini-batch of files and returning the results?

Accepted Answer

The run(mini_batch) function, which receives a list of file paths for each mini-batch and returns the scored results

Answer

The init() function, which loads the model once per worker and returns predictions for each file

Answer

The main() function, which is invoked automatically by the batch endpoint for every input file

Answer

The score(input_data) function, which is the required entry point for real-time managed online endpoints