Github user mateiz commented on a diff in the pull request:
https://github.com/apache/spark/pull/296#discussion_r11366101
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/linalg/rdd/IndexedRowRDDMatrix.scala
---
@@ -0,0 +1,60 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.mllib.linalg.rdd
+
+import org.apache.spark.rdd.RDD
+import org.apache.spark.mllib.linalg.Vector
+
+/** Represents a row of RowRDDMatrix. */
+case class IndexedRDDMatrixRow(index: Long, vector: Vector)
+
+/**
+ * Represents a row-oriented RDDMatrix with indexed rows.
+ *
+ * @param rows indexed rows of this matrix
+ * @param m number of rows, where a negative number means unknown
+ * @param n number of cols, where a negative number means unknown
+ */
+class IndexedRowRDDMatrix(
+ val rows: RDD[IndexedRDDMatrixRow],
+ m: Long = -1L,
+ n: Long = -1L) extends RDDMatrix {
+
+ private var _m = m
+ private var _n = n
+
+ /** Gets or computes the number of columns. */
+ override def numCols(): Long = {
+ if (_n < 0) {
+ _n = rows.first().vector.size
+ }
+ _n
+ }
+
+ override def numRows(): Long = {
+ if (_m < 0) {
+ _m = rows.map(_.index).reduce(math.max) + 1
+ }
+ _m
+ }
+
+ /** Drops row indices and converts this matrix to a RowRDDMatrix. */
+ def toRowRDDMatrix(): RowRDDMatrix = {
+ new RowRDDMatrix(rows.map(_.vector), -1, _n)
+ }
--- End diff --
Do we want to add computePCA, computeSVD and such on this as well, and pass
them on to RowMatrix?
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