Mljar-supervised

Latest version: v1.1.15

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1.0.1

Fixes
- 634 fix problem with categorical values in target and nan values for fairness metric
- 635 add tests for fairness feature
- 636 switch off shap exceptions printouts

1.0.0

We add support for fairness aware training in our AutoML.
- For implementation details please check issue 612
- For example usage please check article https://mljar.com/blog/fairness-machine-learning/

0.11.5

Bug fixes and updates
- 595 replace boston example dataset with California housing dataset, replace `mse` metric with `squared_error` for tree based algorithms from sklearn
- 596 change the import method for `dtreeviz` package

0.11.4

Fixes
- 590 dynamically set font in a report, thanks yairVanti!

0.11.3

Unpin `shap` version 551

0.11.2

Enhancements
- 523 Add type hints to AutoML class, thank you DanielR59
- 519 save train&validation index to file in train/test split, thanks filipsPL MaciekEO

Bug fixes
- 496 fix exception in baseline mode, thanks DanielR59 moshe-rl
- 522 fixed requirements issue, thanks DanielR59 MaciekEO
- 514 remove warning, thanks MaciekEO
- 511 disable EDA, thanks MaciekEO

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