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https://issues.apache.org/jira/browse/FLINK-1937?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14516703#comment-14516703
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ASF GitHub Bot commented on FLINK-1937:
---------------------------------------
GitHub user tillrohrmann opened a pull request:
https://github.com/apache/flink/pull/636
[FLINK-1937] [ml] Fixes sparse vector/matrix creation fromCOO with a single
element
The problem seems to be that Scala apparently cannot infer the correct type
of a single tuple in the presence of the overloaded method with the
```Iterable``` type parameter. If one provides more than one element, then
Scala knows that only the varargs method is applicable and thus infers that the
tuples have to be of type ```(Int, Double)```.
One can solve this problem by specifying explicitly that the single tuple
is of type ```(Int, Double)```. However, to ensure a nice user experience I
added a special case method which takes a single tuple of type ```(Int, Int)```
and converts it into a ```(Int, Double)``` type.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/tillrohrmann/flink fixSparseVector
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/636.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #636
----
commit 2a497a3e42574f5f17e4ec2133b8b7f7ccdd37bb
Author: Till Rohrmann <[email protected]>
Date: 2015-04-28T09:01:07Z
[FLINK-1937] [ml] Fixes sparse vector/matrix creation fromCOO with a single
element
----
> 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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