Skip to content

Releases: awslabs/mlspace

MLSpace v1.4.1

21 May 15:18
@KyleLilly KyleLilly
v1.4.1
ad76a90
This commit was created on GitHub.com and signed with GitHub’s verified signature.
GPG key ID: B5690EEEBB952194
Learn about vigilant mode.
Compare
Choose a tag to compare
MLSpace v1.4.1

Bug fixes

  • [AIML-ADC-8888] Fixed bug where users were unable to select custom lifecycle config during notebook creation
  • [AIML-ADC-8887] Fixed bug where terminated EMR clusters were being returned as selectable clusters in the notebook creation modal
Assets 2
Loading

MLSpace v1.4.0

02 May 02:44
@KyleLilly KyleLilly
v1.4.0
f3dbd49
This commit was created on GitHub.com and signed with GitHub’s verified signature.
GPG key ID: B5690EEEBB952194
Learn about vigilant mode.
Compare
Choose a tag to compare
MLSpace v1.4.0

Features/Improvements

  • Dataset improvements
    • Add support for the creation of empty datasets
    • Training jobs started from notebooks will automatically create datasets if the output is written to an S3 path not currently associated with a dataset
    • Added a warning when empty datasets are selected for input channels
    • Added new dataset browser component and reworked all forms that allowed users to select input/output paths from datasets
  • Added support for additional built-in training job algorithms
    • Linear Learner
    • Object Detection (MXNet)
    • Semantic Segmentation (MXNet)
    • XGBoost
  • Added new config CLI to help users generate a config file with environment specific configuration
  • Added support for deploying ARM based lambdas
  • Add support for whitelabeling the application and documentation
  • Switch from mkdocs to vitepress for documentation
  • Added generic configurable system banner
  • Added landing page instead of immediately redirecting to login
  • Added optional support for OIDC Client Secret flow
  • Added tuning job source/parent field to training job details view
  • Added ability to clone training jobs
  • Added ability to clone HPO jobs
  • Added darkmode
  • Added project resource counts overview to project details view
  • Added ability for admins to generate reports based on specific projects or users
  • Added version label to side navigation
  • Batch and real-time translation forms will now remove the selected source language from the target language selection options
  • Added the ability to select a specific subnet during model creation
  • Added input data s3 location to traing job defition details view in HPO details view
  • Increased default page size for all tables and began tracking table page size preferences in user preferences
  • Removed format and classification field from datasets
  • Added the ability to specify a subnet as part of EMR Cluster creation
  • Replaced Quill with tiptap in labeling job creation workflow

Bug fixes

  • Fixed bug where training job form could be submitted without client-side validation running
  • Fixed bug where continuous range parameters were not properly validated client-side
  • Fixed accessibilty issues with labeling job creation form
    • rich text editor buttons lacking proper keyboard navigation support, - accessible button labels, accessible icon labels
    • task timeout inputs missing accessible labels
    • dynamic label control missing accessible labels
  • Fixed bug where batch translate jobs run in us-iso-east-1 would fail due to unsuported auto detection was selected
  • Fixed bug where creating an HPO job with multiple training job definitions results in duplicate metrics values
  • Fixed bug where input data configuration "mode" for training/HPO jobs was required when it should have been optional
  • Fixed an issue where users were unable to create training jobs from the UI without changing the default instance type
  • Fixed bug where the delete button on global datasets was enabled for users who did not known the datasets. Deletion would fail but the button should not have been enabled

Full Changelog: https://github.com/awslabs/mlspace/commits/v1.4.0

Assets 2
Loading