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xgboost/tests
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Jiaming Yuan c2b3a13e70
[breaking][skl] Remove parameter serialization. (#8963) 
- Remove parameter serialization in the scikit-learn interface.

The scikit-lear interface `save_model` will save only the model and discard all
hyper-parameters. This is to align with the native XGBoost interface, which distinguishes
the hyper-parameter and model parameters.

With the scikit-learn interface, model parameters are attributes of the estimator. For
instance, `n_features_in_`, `n_classes_` are always accessible with
`estimator.n_features_in_` and `estimator.n_classes_`, but not with the
`estimator.get_params`.

- Define a `load_model` method for classifier to load its own attributes.

- Set n_estimators to None by default.
2023-03-27 21:34:10 +08:00
..
benchmark
Use ==/!= to compare constant literals (str, bytes, int, float, tuple) (#8372)
2022-10-22 21:53:03 +08:00
buildkite
[CI] Run RMM gtests. (#8900)
2023-03-12 03:14:31 +08:00
ci_build
Initial support for multi-target tree. (#8616)
2023-03-22 23:49:56 +08:00
cli
Fix data loading (#4862)
2019-10-22 12:33:14 -04:00
cpp
Initial support for multi-target tree. (#8616)
2023-03-22 23:49:56 +08:00
python
[breaking][skl] Remove parameter serialization. (#8963)
2023-03-27 21:34:10 +08:00
python-gpu
Initial support for multi-target tree. (#8616)
2023-03-22 23:49:56 +08:00
test_distributed
Initial support for multi-target tree. (#8616)
2023-03-22 23:49:56 +08:00
pytest.ini
Use in-memory communicator to test quantile (#8710)
2023-01-27 23:28:28 +08:00
README.md
Extract dask and spark test into distributed test. (#8395)
2022-10-28 16:24:32 +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: 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 pytest marker for python tests, some markers are generated by conftest.py file.