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https://issues.apache.org/jira/browse/ATLAS-3432?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17216492#comment-17216492
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SemanticBeeng edited comment on ATLAS-3432 at 10/19/20, 7:18 AM:
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Thoughts on adopting ML Schema ?
[https://twitter.com/semanticbeeng/status/1205822685302992903]
See also work of Evan Patterson to use semantic web to document data science
code: [https://twitter.com/semanticbeeng/status/1199311122928672768]
Please advise if interested to discuss.
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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