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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-2297) Add threshold setting for SVM binary predictions
Date Wed, 01 Jul 2015 09:01:04 GMT

    [ https://issues.apache.org/jira/browse/FLINK-2297?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14609785#comment-14609785
] 

ASF GitHub Bot commented on FLINK-2297:
---------------------------------------

Github user thvasilo commented on a diff in the pull request:

    https://github.com/apache/flink/pull/874#discussion_r33660212
  
    --- Diff: flink-staging/flink-ml/src/main/scala/org/apache/flink/ml/common/ParameterMap.scala
---
    @@ -112,7 +112,7 @@ object ParameterMap {
      *
      * @tparam T Type of parameter value associated to this parameter key
      */
    -trait Parameter[T] {
    +trait Parameter[+T] {
    --- End diff --
    
    This was initially needed to get the hack working, I will remove when I rework the ParameterMap


> 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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