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Changelog

Legend

  • Feature : Something that you couldn’t do before.
  • Enhancement : A miscellaneous minor improvement.
  • Efficiency : An existing feature now may not require as much computation or memory.
  • Fix : Something that previously didn’t work as documented or as expected should now work.
  • Documentation : An update to the documentation.
  • Other : Miscellaneous updates such as package structure or GitHub quality of life updates.

Version 1.0.4

  • Fix : Froze all dependency versions; included threadpoolctl version requirement.
  • Other : Fixed dependency naming and requirements in setup.py and requirements.txt.
  • Other : Updated model naming schema when loading a model to use the file name as the model name.
  • Documentation : Updated relevant documentation to incorporate changes.

Version 1.0.3

  • Documentation : Updated README to reflect freezing of dependencies.
  • Other : Specified exact versions of dependencies in requirements.txt and in setup.py.

Version 1.0.1

  • Fix : Remove min_impurity_split from GradientBoostingClassifier as it no longer exists in the underlying sklearn class.
  • Documentation : Improve organization of the build directory.

Version 1.0.0

  • Feature : Sleep Ensemble is released! Hurray!
  • Feature : IO interface selection for read and write implemented. Interfaces for .mat exports from Spike2, .smr/.smrx from Spike2, and .xls "datasets" have been included.
  • Feature : End-user command line interface application developed. Includes ability to classify data, train/validate models, load/export builds.
  • Feature : Protocol management embedded into CLI application similar to IO interface integration.
  • Feature : Sleep Ensemble 4 protocol added to sleepens.protocols.
  • Documentation : README.md includes more details on installation and usage.
  • Documentation : BUILDS.md written as a build directory to easily find pre-trained build binaries from release history.