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https://issues.apache.org/jira/browse/FLINK-2102?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14564149#comment-14564149
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ASF GitHub Bot commented on FLINK-2102:
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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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