Ambrosia
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PySpark statistical criteria implementation
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