Skip to content

Roadmap#

Next up#

Features#

  • Improve large scale experience
    • Result saving function (Samir)
    • Priorband default sampling / pass evaluated configs to neps.run (Samir)
    • Document large scale
    • Evaluate and maybe improve ease-of-use of NePS for DDP (Gopalji)
  • Optimize dependencies (Anton)

Documentation#

  • Remove templates (Danny)
  • Add New Lightning example (Gopalji)
  • Add DDP examples (Gopalji)
  • Add some larger examples (Gopalji, Anton)
  • Improve new lightning example by adding Tensorboard (Tarek)
  • Add optimizer pages (Anton, Neeratyoy)

Before 1.0.0 version#

Features#

  • Utility neps.clean to manage existing run results
  • Generate pdf plot after each evaluation
  • Finegrained control over user prior
  • Print search space upon run
  • Utility to generate code for best architecture
  • Core algorithmic feature set (research)

Documentation#

  • Add example for spawning cloud instances via run pipeline
  • Add NAS documentation
  • Keep a changelog, add to it before each release

Tests#

  • Regression tests to run on cluster on each version release