Accelerate the onboarding of team members to automatedML by eliminating manual tasks and reducing data-related errors with automatic time series ID detection.
View and customize automatedML model’s training code:
- Model transparency and trust for full control and customization of the model's training code.
- Supports scenarios that require model training code deployed in production, as well as control and customization of the code.
Users are now able to update their AI application architecture or design by moving workspaces across Azure resource groups and subscription.
Use the links below for more information:
https://aka.ms/autodetecttimeseriesIDAutoML (Automatic Time Series ID Detection for Automation)
https://aka.ms/AMLModelTrainingCodeGen (How to generate AutoML training code)
https://aka.ms/AMLWorkspaceMove (Move Azure Machine Learning workspaces between subscriptions)