Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/7554#discussion_r35253870
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/api/python/PythonMLLibAPI.scala ---
@@ -1105,6 +1108,59 @@ private[python] class PythonMLLibAPI extends
Serializable {
Statistics.kolmogorovSmirnovTest(data, distName, paramsSeq: _*)
}
+ /**
+ * Wrapper around DistributedMatrices.rowMatrix factory method.
+ */
+ def createRowMatrix(rows: JavaRDD[Vector], numRows: Long, numCols: Int):
RowMatrix = {
+ DistributedMatrices.rowMatrix(rows.rdd, numRows, numCols)
+ }
+
+ /**
+ * Wrapper around DistributedMatrices.indexedRowMatrix factory method.
+ */
+ def createIndexedRowMatrix(rows: DataFrame, numRows: Long, numCols:
Int): IndexedRowMatrix = {
+ // We use DataFrames for serialization of IndexedRows from Python, so
map each Row in the
+ // DataFrame back to an IndexedRow.
+ val indexedRows = rows.map { row =>
+ val index = row.getLong(0)
+ val vector = row.getAs[Vector](1)
+ IndexedRow(index, vector)
--- End diff --
I am used to writing this in a line like
rows.map { case Row(ind: Long, vec: Vector) => IndexedRow(ind, vec) }
But that might be personal preference
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