This PR changes base_margin into a 3-dim array, with one of them being reserved for multi-target classification. Also, a breaking change is made for binary serialization due to extra dimension along with a fix for saving the feature weights. Lastly, it unifies the prediction initialization between CPU and GPU. After this PR, the meta info setter in Python will be based on array interface.
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: Legacy tests for distributed system. Most of the distributed tests are
in Python tests using
daskand jvm package usingspark. - 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.