Juliet Hougland created SPARK-7194:
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Summary: Vectors factors method for sparse vectors should accept
the output of zipWithIndex
Key: SPARK-7194
URL: https://issues.apache.org/jira/browse/SPARK-7194
Project: Spark
Issue Type: Improvement
Reporter: Juliet Hougland
Let's say we have an RDD of Array[Double] where zero values are explictly
recorded. Ie (0.0, 0.0, 3.2, 0.0...) If we want to transform this into an RDD
of sparse vectors, we currently have to:
arr_doubles.map{ array =>
val indexElem: Seq[(Int, Double)] = array.zipWithIndex.filter(tuple =>
tuple._1 != 0.0).map(tuple => (tuple._2, tuple._1))
Vectors.sparse(arrray.length, indexElem)
}
Notice that there is a map step at the end to switch the order of the index and
the element value after .zipWithIndex. There should be a factory method on the
Vectors class that allows you to avoid this flipping of tuple elements when
using zipWithIndex.
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