Hendrik/xgboost
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity
xgboost/tests
History
Jiaming Yuan 0d0abe1845
Support optimal partitioning for GPU hist. (#7652) 
* Implement `MaxCategory` in quantile.
* Implement partition-based split for GPU evaluation.  Currently, it's based on the existing evaluation function.
* Extract an evaluator from GPU Hist to store the needed states.
* Added some CUDA stream/event utilities.
* Update document with references.
* Fixed a bug in approx evaluator where the number of data points is less than the number of categories.
2022-02-15 03:03:12 +08:00
..
benchmark
Fix spelling in documents (#6948)
2021-05-11 20:44:36 +08:00
ci_build
[CI] Clean up Python wheel build pipeline (#7626)
2022-02-03 00:55:44 -08:00
cli
Fix data loading (#4862)
2019-10-22 12:33:14 -04:00
cpp
Support optimal partitioning for GPU hist. (#7652)
2022-02-15 03:03:12 +08:00
distributed
Fix MPI build. (#6403)
2020-11-21 13:38:21 +08:00
python
Support optimal partitioning for GPU hist. (#7652)
2022-02-15 03:03:12 +08:00
python-gpu
Add tests for prediction cache. (#7650)
2022-02-15 00:28:00 +08:00
travis
Move macos test to github action. (#7382)
2021-10-30 14:40:32 +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
Fix spelling in documents (#6948)
2021-05-11 20:44:36 +08:00

README.md

This folder contains test cases for XGBoost c++ core, Python package and some other CI facilities.

Directories

  • ci_build: Test facilities for Jenkins CI and GitHub action.
  • cli: Basic test for command line executable xgboost. Most of the other command line specific tests are in Python test test_cli.py
  • cpp: Tests for C++ core, using Google test framework.
  • python: Tests for Python package, demonstrations and CLI. For how to setup the dependencies for tests, see conda files in ci_build.
  • python-gpu: Similar to python tests, but for GPU.
  • travis: CI facilities for Travis.
  • distributed: Legacy tests for distributed system. Most of the distributed tests are in Python tests using dask and jvm package using spark.
  • benchmark: Legacy benchmark code. There are a number of benchmark projects for XGBoost with much better configurations.

Others

  • pytest.ini: Describes the pytest marker for python tests, some markers are generated by conftest.py file.