xgboost

History

Move skl eval_metric and early_stopping rounds to model params. (#6751 )

A new parameter `custom_metric` is added to `train` and `cv` to distinguish the behaviour from the old `feval`.  And `feval` is deprecated.  The new `custom_metric` receives transformed prediction when the built-in objective is used.  This enables XGBoost to use cost functions from other libraries like scikit-learn directly without going through the definition of the link function.

`eval_metric` and `early_stopping_rounds` in sklearn interface are moved from `fit` to `__init__` and is now saved as part of the scikit-learn model.  The old ones in `fit` function are now deprecated. The new `eval_metric` in `__init__` has the same new behaviour as `custom_metric`.

Added more detailed documents for the behaviour of custom objective and metric.

2021-10-28 17:20:20 +08:00

aft_survival_analysis.rst

Fix spelling in documents (#6948 )

2021-05-11 20:44:36 +08:00

aws_yarn.rst

Fix #3857 : take down AWS YARN tutorial, as it is outdated (#3885 )

2018-11-08 23:08:32 -08:00

c_api_tutorial.rst

Export Python Interface for external memory. (#7070 )

2021-07-22 15:15:53 +08:00

categorical.rst

[doc] Small improvements for categorical data document. (#7330 )