History

Extend array interface to handle ndarray. (#7434 )

* Extend array interface to handle ndarray.

The `ArrayInterface` class is extended to support multi-dim array inputs. Previously this
class handles only 2-dim (vector is also matrix).  This PR specifies the expected
dimension at compile-time and the array interface can perform various checks automatically
for input data. Also, adapters like CSR are more rigorous about their input.  Lastly, row
vector and column vector are handled without intervention from the caller.

2021-11-16 09:52:15 +08:00

benchmark

Fix spelling in documents (#6948 )

2021-05-11 20:44:36 +08:00

ci_build

[doc] Use RTD theme. (#7346 )

2021-10-19 23:49:19 -07:00

cli

Fix data loading (#4862 )

2019-10-22 12:33:14 -04:00

cpp

Extend array interface to handle ndarray. (#7434 )

2021-11-16 09:52:15 +08:00

distributed

Fix MPI build. (#6403 )

2020-11-21 13:38:21 +08:00

python

Cleanup Python tests. (#7426 )

2021-11-14 15:47:05 +08:00

python-gpu

Add test for invalid categorical data values. (#7380 )

2021-11-02 18:00:52 +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.