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Posted to issues@flink.apache.org by "Till Rohrmann (JIRA)" <ji...@apache.org> on 2015/05/07 16:18:00 UTC

[jira] [Closed] (FLINK-1937) Cannot create SparseVector with only one non-zero element.

     [ https://issues.apache.org/jira/browse/FLINK-1937?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Till Rohrmann closed FLINK-1937.
--------------------------------
    Resolution: Fixed

Fixed via 2f08d9d561de5789a2ef784411f6f4a9ed4afb9f

> Cannot create SparseVector with only one non-zero element.
> ----------------------------------------------------------
>
>                 Key: FLINK-1937
>                 URL: https://issues.apache.org/jira/browse/FLINK-1937
>             Project: Flink
>          Issue Type: Bug
>          Components: Machine Learning Library
>            Reporter: Chiwan Park
>            Assignee: Till Rohrmann
>              Labels: ML
>
> I tried creating SparseVector with only one non-zero element. But I couldn't create it. Following code causes the problem.
> {code}
> val vec2 = SparseVector.fromCOO(3, (1, 1))
> {code}
> I got a compile error following:
> {code:none}
> Error:(60, 29) overloaded method value fromCOO with alternatives:
>   (size: Int,entries: Iterable[(Int, Double)])org.apache.flink.ml.math.SparseVector <and>
>   (size: Int,entries: (Int, Double)*)org.apache.flink.ml.math.SparseVector
>  cannot be applied to (Int, (Int, Int))
>     val vec2 = SparseVector.fromCOO(3, (1, 1))
>                             ^
> {code}



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