I don't think this is Spark-specific. The first definition doesn't
compile, even if java.util.Vector was intended.
Why not just
def parseVector(line: String) = line.split(',').map(_.toFloat)
it returns an Array[Float], which might be entirely fine where you
want a scala Vector.
--
Sean Owen | Director, Data Science | London
On Mon, Feb 17, 2014 at 7:58 PM, agg <[email protected]> wrote:
> Hi,
>
> I would like to run the spark example with floats instead of doubles. When
> I change this:
>
> def parseVector(line: String): Vector = {
> return new Vector(line.split(',').map(_.toDouble))
> }
>
> to:
>
> def parseVector(line: String): Vector = {
> return new Vector(line.split(',').map(_.*toFloat*))
> }
>
> I get an error, saying it is expecting a double. Any thoughts?
>
> Thanks!
>
>
>
> --
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> http://apache-spark-user-list.1001560.n3.nabble.com/Kmeans-example-with-floats-tp1640.html
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