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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-2102) Add predict operation for LabeledVector
Date Fri, 29 May 2015 03:34:17 GMT

    [ https://issues.apache.org/jira/browse/FLINK-2102?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14564149#comment-14564149
] 

ASF GitHub Bot commented on FLINK-2102:
---------------------------------------

Github user sachingoel0101 commented on the pull request:

    https://github.com/apache/flink/pull/744#issuecomment-106672515
  
    One further possible addition would be to add a class to evaluate accuracy. We could provide
statistics such as F1-score, Precision at k,etc. 
    Where would that fit in the pipeline mechanism though? 


> Add predict operation for LabeledVector
> ---------------------------------------
>
>                 Key: FLINK-2102
>                 URL: https://issues.apache.org/jira/browse/FLINK-2102
>             Project: Flink
>          Issue Type: Improvement
>          Components: Machine Learning Library
>            Reporter: Theodore Vasiloudis
>            Assignee: Theodore Vasiloudis
>            Priority: Minor
>              Labels: ML
>             Fix For: 0.9
>
>
> Currently we can only call predict on DataSet[V <: Vector].
> A lot of times though we have a DataSet[LabeledVector] that we split into a train and
test set.
> We should be able to make predictions on the test DataSet[LabeledVector] without having
to transform it into a DataSet[Vector]



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