v1.5.0

Key Features

In-App Configuration

MLSpace Administrators can easily manage commonly customized settings directly in the MLSpace user interface. This feature removes the need for code changes and redeployments.

Administrators can now:

• Manage available EC2 instance types for:
  • SageMaker Notebooks
  • Endpoints
  • Transform Jobs
  • Training Jobs
• Activate or deactivate access to the following services:
  • Amazon Translate
  • Amazon GroundTruth
  • Amazon EMR
• Define EMR configurations by controlling available applications and defining cluster types
• Restrict project creation to Administrators for installations in less permissive environments
• Easily update and configure the application banner
• Save all historical admin configuration settings:
  • View history in-app via the configuration history table
  • Audit changes, including timestamps and authorship
  • Roll back to any previous configuration
• Import/Export settings to manage multiple environments

Dataset Management Enhancements

• Preserve file structure during bulk uploads
• Enable drag-and-drop functionality for uploads
• Enhance upload notifications with a progress indicator
• Display a DatasetSelector warning when files don't exist
• Make the dataset table use serverFetch and proper loading actions

UI Cleanup

• Standardize input debouncing in the frontend
• Remove excess background refresh intervals
• Prevent breadcrumbs from reloading the entire app layout
• Add loading icons for background refreshing
• Add additional spacing between Notebook action buttons
• Provide more user-friendly error messages for quota issues or name conflicts
• Allow prefix selection for batch translate input
• Clean up labeling job creation validation

Documentation Updates

• Basic documentation for creating a GroundTruth workforce with Keycloak
• Minor grammar and wording cleanup

Full Changelog: v1.4.1...v1.5.0