How severe does this issue affect your experience of using Ray?
- Low: It annoys or frustrates me for a moment.
Please note: I am one elapsed hour into my Ray journey - total newbie.
I am using Google Colab to learn ML, MLOps, etc. I am currently learning about Ray.
My Colab notebook has the following cell:
!pip install -U "ray[data,train,tune,serve]"
which when executed results in (a lot of logging ending in):
Successfully installed aiohttp-cors-0.7.0 colorful-0.5.6 distlib-0.3.8 fastapi-0.110.0 h11-0.14.0 httptools-0.6.1 opencensus-0.11.4 opencensus-context-0.1.3 py-spy-0.3.14 python-dotenv-1.0.1 ray-2.10.0 starlette-0.36.3 tensorboardX-2.6.2.2 uvicorn-0.29.0 uvloop-0.19.0 virtualenv-20.25.1 watchfiles-0.21.0 websockets-12.0
After that I have the following cell:
import ray
if ray.is_initialized():
ray.shutdown()
ray.init()
which when executed results in output like the following:
2024-03-29 18:26:01,586 | INFO worker.py:1743 – Started a local Ray instance. View the dashboard at 127.0.0.1:8265 |
---|---|
Python version: | 3.10.12 |
Ray version: | 2.10.0 |
Dashboard: | http://127.0.0.1:8265 |
Now I want to access the Dashboard to explore it, but obviously it is not at http://127.0.0.1:8265.
Please could someone let me know how I can access it, if I can?