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https://issues.apache.org/jira/browse/MADLIB-958?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Frank McQuillan updated MADLIB-958:
-----------------------------------
Description:
Story
As a MADlib developer, I want to implement a Gaussian kernel for the SVM
algorithm in-memory, for smaller numbers of features:
This is a follow on to:
https://issues.apache.org/jira/browse/MADLIB-937
Logic:
IF (smaller number of features)
Use https://issues.apache.org/jira/browse/MADLIB-958 (i.e., this story)
ELSE
Use https://issues.apache.org/jira/browse/MADLIB-937
This approach allows us to support large numbers of features not constrained by
the PostgreSQL 1 GB internal agg limit.
was:
Story
As a MADlib developer, I want to implement a Gaussian kernel in the SVM
algorithm in-mem, for smaller data sizes.
> Non-linear SVM - gaussian kernel in-mem
> ---------------------------------------
>
> Key: MADLIB-958
> URL: https://issues.apache.org/jira/browse/MADLIB-958
> Project: Apache MADlib
> Issue Type: New Feature
> Components: Module: Support Vector Machines
> Reporter: Frank McQuillan
> Assignee: Xiaocheng Tang
> Fix For: v1.9
>
>
> Story
> As a MADlib developer, I want to implement a Gaussian kernel for the SVM
> algorithm in-memory, for smaller numbers of features:
> This is a follow on to:
> https://issues.apache.org/jira/browse/MADLIB-937
> Logic:
> IF (smaller number of features)
> Use https://issues.apache.org/jira/browse/MADLIB-958 (i.e., this story)
> ELSE
> Use https://issues.apache.org/jira/browse/MADLIB-937
> This approach allows us to support large numbers of features not constrained
> by the PostgreSQL 1 GB internal agg limit.
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