- Use the `linalg::Matrix` for storing gradients. - New API for the custom objective. - Custom objective for multi-class/multi-target is now required to return the correct shape. - Custom objective for Python can accept arrays with any strides. (row-major, column-major)
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.