How to retrain Automated ML generated Model with new Data

Question

Hi,
i generated a machine learning model with Automated ML in Azure Machine Learning. Time to time i get new data, and i wanna feed the generated model with it.
Is there a way to automatically retrain that model and updating the belonging endpoint.

I have seen some intructions to this using Data Factory and Pipelines. Since I'm using Automated ML I'm not able to do it this way.

Thanks in advance.

Answer 1

@ID_27051995 Thanks for the question. Model Deployment : AutoML models can be either downloaded locally or deployed to AML (AKS / ACI) for inference., Please use the Model Lifecycle management / MLOps: AzureML MLOps capabilities for continuous integration, retraining and automation pipelines.

The link below explains how to use Azure DevOps Project for build and release/deployment pipelines along with Azure ML services for model retraining pipeline, model management and operationalization.
https://github.com/microsoft/MLOpsPython

Please follow the below document for retrain your model on new data.
https://learn.microsoft.com/en-us/azure/machine-learning/concept-model-management-and-deployment#retrain-your-model-on-new-data