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https://issues.apache.org/jira/browse/FLINK-1937?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14514095#comment-14514095
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Till Rohrmann commented on FLINK-1937:
--------------------------------------
Hi [~chiwanpark],
the problem is that you're giving a tuple of (Int, Int) to the function
{{fromCOO}} which expects a tuple of (Int, Double). Creating the
{{SparseVector}} with
{code}
val vec2 = SparseVector.fromCoo(3, (1, 1.0))
{code}
should fix your problem.
The underlying problem is that the Scala compiler cannot cast a tuple of (Int,
Int) to (Int, Double) even though Int values are a subset of Double. We could
add methods which do this for us, though.
> 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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