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PySpark statistical criteria implementation  #19

Description

@xandaau

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

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

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