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1.0.2

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@ThomasBury ThomasBury released this 09 Jan 14:48
· 257 commits to main since this release

The first version of ARFS:

  • Parallelization of functions applied on pandas data frame
  • Faster and more modular association measures
  • Removing dependencies (e.g. dython)
  • Better static and interactive visualization
  • Sklearn selectors rather than a big class
  • Discretization of continuous and categorical predictors
  • Minimal redundancy maximal relevance feature selection added (a subset of all relevant predictors), based on Uber's MRmr flavor
  • architecture closer to the scikit-learn one