Jiaming Yuan e7ac2486eb
[backport] [R] Fix global feature importance and predict with 1 sample. (#7394) (#7397)
* [R] Fix global feature importance.

* Add implementation for tree index.  The parameter is not documented in C API since we
should work on porting the model slicing to R instead of supporting more use of tree
index.

* Fix the difference between "gain" and "total_gain".

* debug.

* Fix prediction.
2021-11-06 00:07:36 +08:00
..
2019-10-22 12:33:14 -04:00
2020-11-21 13:38:21 +08:00
2020-08-12 01:26:02 -07:00
2021-05-11 20:44:36 +08:00

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.