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https://issues.apache.org/jira/browse/IGNITE-11072?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yury Babak updated IGNITE-11072:
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Ignite Flags: (was: Docs Required)
> [ML] Prepare an example of model inference in SQL
> -------------------------------------------------
>
> Key: IGNITE-11072
> URL: https://issues.apache.org/jira/browse/IGNITE-11072
> Project: Ignite
> Issue Type: Improvement
> Components: ml
> Affects Versions: 2.8
> Reporter: Anton Dmitriev
> Assignee: Anton Dmitriev
> Priority: Major
> Fix For: 2.8
>
> Time Spent: 10m
> Remaining Estimate: 0h
>
> Machine learning model lifecycle assumes training followed by inference. The
> inference is relatively simple procedure that is essentially a predefined
> function call. The predefined function, or model in other words, can be
> chosen from internal storage and be called directly from SQL. It will
> significantly simplify usage of existing models.
>
> The goal of this task is to prepare an example that demonstrates how to do it
> using existing functionality (With model storage prepared in IGNITE-10287 and
> Liner Regression prepared in IGNITE-7438).
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