Github user dorx commented on a diff in the pull request:

    https://github.com/apache/spark/pull/1367#discussion_r15017975
  
    --- Diff: 
mllib/src/main/scala/org/apache/spark/mllib/stat/correlation/SpearmansCorrelation.scala
 ---
    @@ -0,0 +1,102 @@
    +/*
    + * 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.stat.correlation
    +
    +import org.apache.spark.Partitioner
    +import org.apache.spark.SparkContext._
    +import org.apache.spark.mllib.linalg.{DenseVector, Matrix, Vector}
    +import org.apache.spark.rdd.{CoGroupedRDD, RDD}
    +
    +/**
    + * Compute Spearman's correlation for two RDDs of the type RDD[Double] or 
the correlation matrix
    + * for an RDD of the type RDD[Vector].
    + *
    + * Definition of Spearman's correlation can be found at
    + * http://en.wikipedia.org/wiki/Spearman's_rank_correlation_coefficient
    + */
    +object SpearmansCorrelation extends Correlation {
    +
    +  /**
    +   * Compute Spearman's correlation for two datasets.
    +   */
    +  override def computeCorrelation(x: RDD[Double], y: RDD[Double]): Double 
= {
    +    computeCorrelationWithMatrixImpl(x, y)
    +  }
    +
    +  /**
    +   * Compute Spearman's correlation matrix S, for the input matrix, where 
S(i, j) is the
    +   * correlation between column i and j.
    +   */
    +  override def computeCorrelationMatrix(X: RDD[Vector]): Matrix = {
    +    val indexed = X.zipWithIndex()
    --- End diff --
    
    FWIW I tried it with zipWithUniqueId, and, as expected, the results were 
wrong when more than 1 partition is used.


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