Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[FEATURE] Add model registry feature in ml-commons OSD plugin #122

Open
wanglam opened this issue Feb 23, 2023 · 0 comments
Open

[FEATURE] Add model registry feature in ml-commons OSD plugin #122

wanglam opened this issue Feb 23, 2023 · 0 comments
Labels
enhancement New feature or request

Comments

@wanglam
Copy link
Collaborator

wanglam commented Feb 23, 2023

Is your feature request related to a problem?

We are going to add the feature of Machine Learning Model Registry, where users can upload custom models. The model has fields such as name, description, tags, and metric, and users can view the specific information of the model on the details page. Users can upload multiple versions of models, and the models uploaded by users will be displayed in the model list. Users can load the model into the OpenSearch cluster for use.

What solution would you like?

We will call the ml-commons plug-in in OpenSearch to implement functions such as model uploading, browsing, searching, and loading.

What alternatives have you considered?

N/A

Do you have any additional context?

N/A

@wanglam wanglam added the enhancement New feature or request label Feb 23, 2023
@model-collapse model-collapse changed the title [FEATURE] Add model registry [FEATURE] Add model registry features in ml-commons OSD plugin Feb 23, 2023
@model-collapse model-collapse changed the title [FEATURE] Add model registry features in ml-commons OSD plugin [FEATURE] Add model registry feature in ml-commons OSD plugin Feb 23, 2023
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request
Projects
None yet
Development

No branches or pull requests

1 participant