flexible gradient boosting framework
Main features:
- user-defined loss function (via using AD)
- user-defined base learners
- overfitting control during boosting iterations via test\val split
- ordering support
andrewspb26/GypsyBoostingMachine
Folders and files
| Name | Name | Last commit date | ||
|---|---|---|---|---|