mirror of
https://github.com/vale981/ray
synced 2025-03-06 02:21:39 -05:00
parent
fb71743935
commit
c4bf38daa6
3 changed files with 11 additions and 0 deletions
|
@ -16,6 +16,7 @@ Ray AIR consists of 5 key components -- Data processing (Ray Data), Model Traini
|
|||
|
||||
Users can use these libraries interchangeably to scale different parts of standard ML workflows.
|
||||
|
||||
To get started, install Ray AIR via `pip install -U "ray[air]"`
|
||||
|
||||
.. tip::
|
||||
**Getting involved with Ray AIR.** We'll be holding office hours, development sprints, and other activities as we get closer to the Ray AIR Beta/GA release. Want to join us? Fill out `this short form <https://forms.gle/wCCdbaQDtgErYycT6>`__!
|
||||
|
|
|
@ -22,6 +22,7 @@ To install Ray libraries:
|
|||
|
||||
.. code-block:: bash
|
||||
|
||||
pip install -U "ray[air]" # installs Ray + dependencies for Ray AI Runtime
|
||||
pip install -U "ray[tune]" # installs Ray + dependencies for Ray Tune
|
||||
pip install -U "ray[rllib]" # installs Ray + dependencies for Ray RLlib
|
||||
pip install -U "ray[serve]" # installs Ray + dependencies for Ray Serve
|
||||
|
|
|
@ -255,6 +255,15 @@ if setup_spec.type == SetupType.RAY:
|
|||
"scipy",
|
||||
]
|
||||
|
||||
# Ray AI Runtime should encompass Data, Tune, and Serve.
|
||||
setup_spec.extras["air"] = list(
|
||||
set(
|
||||
setup_spec.extras["tune"]
|
||||
+ setup_spec.extras["data"]
|
||||
+ setup_spec.extras["serve"]
|
||||
)
|
||||
)
|
||||
|
||||
setup_spec.extras["all"] = list(
|
||||
set(chain.from_iterable(setup_spec.extras.values()))
|
||||
)
|
||||
|
|
Loading…
Add table
Reference in a new issue