Related Issues (20)
- Note in Documentation about clipping
- Note in Documentation about SLE limits
- move doc link
- actions badges
- negative probas WCE HOT 1
- add arg eval_only
- begin tests
- add linting
- Explain when to use the loss functions/metrics
- log cosh loss bad
- add reference documentation
- work with fit() functionality
- add quadratic weighted kappa loss function for multi-class classification HOT 2
- Make loss functions compatible with the sklearn api in xgboost/lightghm
- implement workflows HOT 1
- Root Mean Squared Percentage Error HOT 1
- loss function for SPE HOT 1
- docs fix SPE in XGBoost
- add Python 3.6 support
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