Added some more tests for the learner and fit_stump, for both column-wise distributed learning and vertical federated learning. Also moved the `IsRowSplit` and `IsColumnSplit` methods from the `DMatrix` to the `MetaInfo` since in some places we only have access to the `MetaInfo`. Added a new convenience method `IsVerticalFederatedLearning`. Some refactoring of the testing fixtures.
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.