ray/python/requirements/ml/requirements_upstream.txt

# Upstream dependencies that depend on Ray.
# Because they depend on Ray, we can't pin the subdependencies.
# So we separate its own requirements file.

ray_lightning==0.2.0
tune-sklearn==0.4.3
xgboost_ray==0.1.9
lightgbm_ray==0.1.4
modin>=0.11.0; python_version >= '3.7'
[Tune] Pin Transitive Dependencies (#13358) 2021-01-13 19:10:21 -08:00			`# Upstream dependencies that depend on Ray.`
			`# Because they depend on Ray, we can't pin the subdependencies.`
			`# So we separate its own requirements file.`

[tune] Update Lightning examples to support PTL 1.5 (#20562) To helps resolve the issues users are facing with running Lightning examples with Ray Tune PyTorchLightning/pytorch-lightning#10407 Co-authored-by: Amog Kamsetty <amogkamsetty@yahoo.com> 2022-02-12 07:15:06 +05:30			`ray_lightning==0.2.0`
[Tune/CI] Fix tune-sklearn notebook example (#26470) Fixes the tune-sklearn notebook example as found in #26410 Signed-off-by: Antoni Baum <antoni.baum@protonmail.com> 2022-07-13 19:14:36 +02:00			`tune-sklearn==0.4.3`
Remove MLDataset (#25041) MLDataset is replaced by Ray Dataset. 2022-05-25 09:33:29 -07:00			`xgboost_ray==0.1.9`
			`lightgbm_ray==0.1.4`
Remove deprecated ray.services package (#18475) Co-authored-by: Kai Fricke <kai@anyscale.com> 2021-10-14 08:28:16 -07:00			`modin>=0.11.0; python_version >= '3.7'`