Is it possible to use AutoML with custom models for training?

Question

Shown here are a list of algorithms for forecasting but my question is there a way to use custom models created by the user which can be used with auto ML for forecasting related tasks? Meaning that instead of comparing the metrics of models azure ML provides, use differently hypertuned models to perform a comparative analysis?

Answer 1

@Das Gupta, Abhijeet

Thanks for reaching out to us, do you mean you want to do import a custom model for use in Azure Machine Learning? Azure Machine Learning allows you to work with different types of models. In this article, you learn about using Azure Machine Learning to work with different model types, such as custom, MLflow, and Triton.

Please refer to below document -

https://learn.microsoft.com/en-us/azure/machine-learning/how-to-manage-models?view=azureml-api-2&tabs=cli%2Cuse-local

Also, you can run your scikit-learn training scripts/TensorFlow training scripts/ Keras training scripts/train, hyperparameter tune, and deploy a PyTorch model/Automate efficient hyperparameter tuning using Azure Machine Learning SDK v2 and CLI v2 by way of the SweepJob type, more information please check on the document here - https://learn.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters?view=azureml-api-2

Please let me know if you need any other information, thanks a lot.

I hope this helps.

Regards,

Yutong

-Please kindly accept the answer and vote 'Yes' if you feel helpful to support the community, thanks a lot.