Why we need ML batch execution and update resource option in azure data factory

Question

Why we need to ML Batch Execution and ML Update resource option in Data factory ? How this can be used to retrain machine learning when updating a blob file ?

Answer 1

Ml Batch Execution- to call retraining experiment and get a .ilearner file as output. ML Update Resource- Use the above .ilearner as input and call patch endpoint of predictive web service to Update resource.