Milestones

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• Initial NLP Support

  The minimum goals of the milestone are to: - review existing literature / tools which perform drift detection or similar monitoring on language data / models - select 1+ datasets for benchmarking - add 1+ NLP-compatible algorithms to `menelaus` suite

  No due date

  •1/7 issues closed
  14% complete6 open1 closed

• Synthetic Drift Injection Capabilities

  Add, improve, or incorporate from external sources any synthetic drift injection techniques that would be valuable for use cases of this library.

  No due date

  •4/6 issues closed
  66% complete2 open4 closed

• Categorical Data Compatibility

  Includes any issues where detectors/partitioners need to be created, refactored, or fixed to allow for use with categorical data of some kind.

  No due date

  •0/1 issues closed
  0% complete1 open0 closed

• Streamlining and Performance Enhancements

  Modifications to existing algorithms to streamline the code and/or provide computational performance improvements

  No due date

  •9/18 issues closed
  50% complete9 open9 closed

• Update documentation

  No due date

  •12/14 issues closed
  85% complete2 open12 closed