xgboost

History

Revamp the rabit implementation. (#10112 )

This PR replaces the original RABIT implementation with a new one, which has already been partially merged into XGBoost. The new one features:
- Federated learning for both CPU and GPU.
- NCCL.
- More data types.
- A unified interface for all the underlying implementations.
- Improved timeout handling for both tracker and workers.
- Exhausted tests with metrics (fixed a couple of bugs along the way).
- A reusable tracker for Python and JVM packages.

2024-05-20 11:56:23 +08:00

cpu_survival.py

[doc] Add typing to dask demos. (#10207 )

2024-04-23 00:57:05 +08:00

cpu_training.py

Revamp the rabit implementation. (#10112 )

2024-05-20 11:56:23 +08:00

dask_callbacks.py

[doc] Add typing to dask demos. (#10207 )

2024-04-23 00:57:05 +08:00

gpu_training.py

Fix with black 24.1.1. (#10014 )

2024-01-30 17:24:11 +08:00

README.rst

Use config_context in sklearn interface. (#8141 )

2022-08-09 14:48:54 +08:00

sklearn_cpu_training.py

[doc] Add typing to dask demos. (#10207 )

2024-04-23 00:57:05 +08:00

sklearn_gpu_training.py

[doc] Add typing to dask demos. (#10207 )

2024-04-23 00:57:05 +08:00

README.rst

.. _dask-examples:

XGBoost Dask Feature Walkthrough
================================

This directory contains some demonstrations for using `dask` with `XGBoost`.  For an
overview, see :doc:`/tutorials/dask`