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Posted to dev@atlas.apache.org by "SemanticBeeng (Jira)" <ji...@apache.org> on 2020/10/19 07:13:00 UTC

[jira] [Comment Edited] (ATLAS-3432) Add Machine Learning Governance integration

    [ https://issues.apache.org/jira/browse/ATLAS-3432?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17216492#comment-17216492 ] 

SemanticBeeng edited comment on ATLAS-3432 at 10/19/20, 7:12 AM:
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Thoughts on adopting `ML Schema` ? [https://twitter.com/semanticbeeng/status/1205822685302992903]


was (Author: semanticbeeng):
Thoughts on adopting `ML Schema? https://twitter.com/semanticbeeng/status/1205822685302992903

> Add Machine Learning Governance integration
> -------------------------------------------
>
>                 Key: ATLAS-3432
>                 URL: https://issues.apache.org/jira/browse/ATLAS-3432
>             Project: Atlas
>          Issue Type: New Feature
>          Components:  atlas-core
>    Affects Versions: 3.0.0
>            Reporter: Na Li
>            Assignee: Na Li
>            Priority: Major
>
> Managing machine learning models and its deployments are getting more important over time. Adding their metadata into Atlas is the key step. 
> This update adds new entity types for ML governance, and implements the Hook defined for ML governance.
> * Atlas entities for machine learning metadata are defined. 
> * The Hook API is defined for customer governance service to call to store ML metadata.
> * An implementation of the Hook API is provide that converts machine learning metadata to lineage notifications and send them to Atlas.



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