History

[jvm-packages][xgboost4j-gpu] Support GPU dataframe and DeviceQuantileDMatrix (#7195 )

Following classes are added to support dataframe in java binding:

- `Column` is an abstract type for a single column in tabular data.
- `ColumnBatch` is an abstract type for dataframe.

- `CuDFColumn` is an implementaiton of `Column` that consume cuDF column
- `CudfColumnBatch` is an implementation of `ColumnBatch` that consumes cuDF dataframe.

- `DeviceQuantileDMatrix` is the interface for quantized data.

The Java implementation mimics the Python interface and uses `__cuda_array_interface__` protocol for memory indexing.  One difference is on JVM package, the data batch is staged on the host as java iterators cannot be reset.

Co-authored-by: jiamingy <jm.yuan@outlook.com>

2021-09-24 14:25:00 +08:00

benchmark

Fix spelling in documents (#6948 )

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

ci_build

[jvm-packages][xgboost4j-gpu] Support GPU dataframe and DeviceQuantileDMatrix (#7195 )

2021-09-24 14:25:00 +08:00

cli

Fix data loading (#4862 )

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

cpp

Categorical data support in CPU sketching. (#7221 )

2021-09-17 04:37:09 +08:00

distributed

Fix MPI build. (#6403 )

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

python

Disable callback and ES on random forest. (#7236 )

2021-09-17 18:21:17 +08:00

python-gpu

Support more input types for categorical data. (#7220 )

2021-09-16 20:39:30 +08:00

travis

Fix travis. (#7237 )

2021-09-17 10:06:23 +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.