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PySpark statistical criteria implementation

Open xandaau opened this issue 2 years ago • 0 comments

In order to extend the ambrosia functionality for working with spark data to an acceptable level, it is necessary to implement a set of PySpark statistical criteria classes at ambrosia.spark_tools.stat_criteria

  • [x] Independent T-test
  • [ ] Relative T-test
  • [ ] MannWhitney test
  • [ ] Wilcoxon test
  • [ ] Bootstrap criterion (+relative sampling functionality)
  • [ ] Shapiro-Wilk test

xandaau avatar Jan 18 '23 12:01 xandaau