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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 ?

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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.

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