The code (and datasets) written for and used in the microbiome ML benchmark paper we're writing. The goal is to have this in the form of an actionable python package as soon as we're done.
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Theodor Sperlea c6987b522a initial commit 1 year ago
LICENCE initial commit 1 year ago
README.md initial commit 1 year ago
__init__.py initial commit 1 year ago
pyproject.toml initial commit 1 year ago
requirements.txt initial commit 1 year ago

README.md

Benchmark of Supervised ML methods for the analysis of envicronmental microbiomes

and a python package that is not named yet

TODO

  • Decide on a set of datasets that fit the scope (this will lead to decisions such as test/train, 10fold-cv or loocv)
  • Decide on sets of methods that fit the scope
  • implement everyhting with an eye on open publication
  • Decide on a Licence
  • write pyproject.toml for metadata and make ready for PIP