We are thrilled to announce the public preview of our enhanced experiment tracking tools in Azure Machine Learning, specifically designed to provide you with a more comprehensive understanding, management, and visualization of your training jobs. These improvements comprise a dynamic and customizable dashboard view, an upgraded jobs list view, and a wide range of features aimed at simplifying the organization and analysis of your experimentation results.
Key Features:
- New dynamic and flexible dashboard view
- Improved jobs list view with customizable columns and filters
- Easily compare metrics and images across training jobs
- Add markdown for notes and insights
- Create and save custom views for easy collaboration
Explore the New Dashboard View:
Our new dashboard view combines various tiles – including chart visualizations and markdown – to provide a comprehensive and customizable overview of your experimentation results. By default, the dashboard generates visualizations of your resource utilization, evaluation, and logged metrics for the selected jobs.
Customize Your Dashboard:
- Change job colors with the color picker
- Visualize and hide jobs as needed
- Add and edit charts for custom visualizations
- Compare metrics and images across training jobs
- Add markdown for notes and insights
- Create and save custom views for collaboration
Improved Jobs List View:
The jobs list view now allows you to easily track and organize information with features such as:
- Customizable job display names
- Select, pin, and reorder columns
- Filter jobs based on various criteria
- Perform batch actions on jobs
Get Started:
To try out these new features, simply enable the preview via the preview panel and navigate to the Jobs tab in the studio.
To learn more, read our documentation to:
- Visualize training results in studio (preview) - Azure Machine Learning | Microsoft Learn
- Organize & track training jobs (preview) - Azure Machine Learning | Microsoft Learn
Watch Microsoft Build 2023 sessions to get familiar with other Azure Machine Learning announcements:
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