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Katib 2021 Roadmap

New Features

AutoML

  • Support Population Based Training #1382
  • Support ASHA
  • Support Auto Model Compression #460
  • Support Auto Feature Engineering #475
  • Various CRDs for HP, NAS and other AutoML techniques.

UI

  • Migrate to the new Katib UI Project 1
  • Hyperparameter importances visualization with fANOVA algorithm

Enhancements

  • Finish AWS CI/CD migration
  • Support various parameter distribution #1207
  • Finish validation for Algorithms #1126
  • Refactor Hyperband #1389
  • Support multiple CRD version with conversion webhook
  • MLMD integration with Katib Experiments

History

Katib 2020 Roadmap

New Features

Hyperparameter Tuning

  • Support Early Stopping #692

Neural Architecture Search

  • Support Advanced NAS Algorithms like DARTs, ProxylessNAS #461

Other Features

  • Support Auto Model Compression #460
  • Support Auto Feature Engineering #475

Enhancements

Common

  • Delete Suggestion deployment after Experiment is finished #1061
  • Save Suggestion state after deployment is deleted #1062
  • Reconsider the design of Trial Template #906
  • Design an extensible model for integrating with custom resources.
  • Add validation for algorithms (a.k.a suggestions) #1126
  • Katib UI fixes and enhancements
  • Investigate Kubeflow Metadata integration
  • Investigate the alignment with concept and implementation of "experiments" and "jobs/runs" in KFP #4955

Neural Architecture Search

  • Refactor structure for NAS algorithms #1125
  • Refactor the design for NAS model constructor #1127
  • ENAS enhancements such as micro mode, RNN support