ray
Here are 173 public repositories matching this topic...
-
Updated
Nov 5, 2021 - Python
-
Updated
Nov 5, 2021 - Python
Describe the bug
Failed to execute Series.drop_duplicates.
In [75]: a = md.DataFrame(np.random.rand(10, 2), columns=['a', 'b'], chunk_size=2)
In [76]: a['a'].drop_duplicates().execute() -
Updated
Nov 6, 2021 - JavaScript
-
Updated
Oct 24, 2021 - C++
-
Updated
Nov 5, 2021 - C++
-
Updated
Nov 4, 2021 - JavaScript
-
Updated
Apr 13, 2021 - Python
-
Updated
Jul 4, 2020 - Python
-
Updated
Nov 5, 2021 - Python
-
Updated
Oct 3, 2019 - Python
-
Updated
Oct 23, 2020 - Python
Data splitter
Overview
As a CFP user, I would like to split a dataset (e.g., np array, pandas dataframe) into smaller objects that can then be fed into other nodes/pipeline. This is especially useful when we have compute intensive tasks and would like to parallelize it eas
-
Updated
Dec 8, 2020 - Python
-
Updated
Sep 8, 2021 - Jupyter Notebook
-
Updated
May 13, 2021 - Python
-
Updated
Jan 26, 2017 - C
-
Updated
Oct 22, 2021 - Jupyter Notebook
-
Updated
Mar 11, 2021 - Makefile
-
Updated
Oct 12, 2021 - PHP
Search before asking
- I had searched in the issues and found no similar feature requirement.
Description
Backend service should be able to be deployed in the same cluster of ray-operator. We will need to prepare the manifest and dockerfile for the backend service.
Use case
No response
Related issues
#54
Are you
-
Updated
Jul 7, 2021 - Python
-
Updated
Oct 6, 2021 - PHP
-
Updated
Oct 21, 2021 - TypeScript
Improve this page
Add a description, image, and links to the ray topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the ray topic, visit your repo's landing page and select "manage topics."
When users starts Serve cluster with a set of options (http options, checkpoint path) and then connects to it with a different set of options, we should either update it, or error out.