* Support sklearn cross validation for ranker. - Add a convention for X to include a special `qid` column. sklearn utilities consider only `X`, `y` and `sample_weight` for supervised learning algorithms, but we need an additional qid array for ranking. It's important to be able to support the cross validation function in sklearn since all other tuning functions like grid search are based on cross validation.
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 testtest_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: Test for distributed system.
- benchmark: Legacy benchmark code. There are a number of benchmark projects for XGBoost with much better configurations.
Others
- pytest.ini: Describes the
pytestmarker for python tests, some markers are generated byconftest.pyfile.