xgboost

History

[dask] Use distributed.MultiLock (#6743 )

* [dask] Use `distributed.MultiLock`

This enables training multiple models in parallel.

* Conditionally import `MultiLock`.
* Use async train directly in scikit learn interface.
* Use `worker_client` when available.

2021-03-16 14:19:41 +08:00

benchmark

[python-package] remove unused imports (#5776 )

2020-06-11 16:50:27 +08:00

ci_build

Add use_rmm flag to global configuration (#6656 )

2021-03-09 14:53:05 -08:00

cli

Fix data loading (#4862 )

2019-10-22 12:33:14 -04:00

cpp

Prediction by indices (subsample < 1) (#6683 )

2021-03-16 15:08:20 +13:00

distributed

Fix MPI build. (#6403 )

2020-11-21 13:38:21 +08:00

python

[dask] Use distributed.MultiLock (#6743 )

2021-03-16 14:19:41 +08:00

python-gpu

[dask] Use distributed.MultiLock (#6743 )

2021-03-16 14:19:41 +08:00

travis

Vendor libgomp in the manylinux Python wheel (#6461 )

2020-12-03 19:55:32 -08:00

jenkins_get_approval.py

[CI] Enforce daily budget in Jenkins CI (#5884 )

2020-07-13 21:51:11 -07:00

pytest.ini

RMM integration plugin (#5873 )

2020-08-12 01:26:02 -07:00

README.md

DOC: Typo in README.md in tests folder

2015-09-07 22:23:47 -04:00

README.md

This folder contains testcases for xgboost.