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https://issues.apache.org/jira/browse/FLINK-2297?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14609856#comment-14609856
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ASF GitHub Bot commented on FLINK-2297:
---------------------------------------
Github user thvasilo commented on the pull request:
https://github.com/apache/flink/pull/874#issuecomment-117574076
After discussing with, we decided that one parameter determining the value
of the threshold _and_ whether we output the thresholded values or not is
ambiguous.
What we will do instead is provide another parameter that determines
whether the prediction output will be thresholded or not, and the Threshold
parameter only does one thing, determine the value of that threshold.
> Add threshold setting for SVM binary predictions
> ------------------------------------------------
>
> Key: FLINK-2297
> URL: https://issues.apache.org/jira/browse/FLINK-2297
> Project: Flink
> Issue Type: Improvement
> Components: Machine Learning Library
> Reporter: Theodore Vasiloudis
> Assignee: Theodore Vasiloudis
> Priority: Minor
> Labels: ML
> Fix For: 0.10
>
>
> Currently SVM outputs the raw decision function values when using the predict
> function.
> We should have instead the ability to set a threshold above which examples
> are labeled as positive (1.0) and below negative (-1.0). Then the prediction
> function can be directly used for evaluation.
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