Retrain a model programmatically with python

Senthil Murugan RAMACHANDRAN 21 Reputation points
2021-02-16T14:05:58.493+00:00

I have created a Scikit-learn model with python and I have ran the experiment. Now , I need to retrain the model with new data through python but its mentioned in the documentation that we need to create a batch interference pipeline to retrain a model. If I create a batch interference pipeline, will I be able to deploy it? Any help will be appreciated. Thanks.

Azure Machine Learning
Azure Machine Learning
An Azure machine learning service for building and deploying models.
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  1. GiftA-MSFT 11,161 Reputation points
    2021-02-16T21:45:05.22+00:00

    Batch Inference Pipeline is useful for making predictions on large data and you can publish the pipeline to your workspace. To retrain your model programmatically, you can simply run your experiment again, then save and register the model to use at the deployment stage. Please review Azure ML Pipelines for more details on how to optimize your workflow.

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