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Posted to issues@spark.apache.org by "Peter Nijem (JIRA)" <ji...@apache.org> on 2019/05/26 10:28:00 UTC
[jira] [Updated] (SPARK-27842) Inconsistent results of
Statistics.corr() and PearsonCorrelation.computeCorrelationMatrix()
[ https://issues.apache.org/jira/browse/SPARK-27842?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Peter Nijem updated SPARK-27842:
--------------------------------
Attachment: vectorList.txt
> Inconsistent results of Statistics.corr() and PearsonCorrelation.computeCorrelationMatrix()
> -------------------------------------------------------------------------------------------
>
> Key: SPARK-27842
> URL: https://issues.apache.org/jira/browse/SPARK-27842
> Project: Spark
> Issue Type: Bug
> Components: ML, Spark Core, Windows
> Affects Versions: 2.3.1
> Reporter: Peter Nijem
> Priority: Major
> Attachments: vectorList.txt
>
>
> Hi,
> I am working with Spark Java API in local mode (1 node, 8 cores). Spark version as follows in my pom.xml:
> *MLLib*
> <artifactId>spark-mllib_2.11</artifactId>
> <version>2.3.1</version>
> *Core*
> **
> <artifactId>spark-core_2.11</artifactId>
> <version>2.3.1</version>
> I am experiencing inconsistent results of correlation when starting my Spark application with 8 cores vs 1/2/3 cores.
> I've created a Main class which reads from a file a list of Vectors; 240 Vector which each Vector is of the length of 226.
> As you can see, I am firstly initializing Spark with local[*], running Correlation, saving the Matrix and stopping Spark. Then, I do the same but for local[3].
> I am expecting to get the same matrices on both runs. But this is not the case. After the code block, you can see the input list of Vectors.
> I tried to compute the correlation using PearsonCorrealtion.computeCorrelationMatrix() but I faced the same issue here as well.
>
> In my work, I am dependent on the resulting correlation matrix. Thus, I am experiencing bad results in y application due to the inconsistent results I am getting. As a workaround, I am working now with local[1]
>
>
> {code:java}
> import org.apache.spark.SparkConf;
> import org.apache.spark.api.java.JavaSparkContext;
> import org.apache.spark.mllib.linalg.DenseVector;
> import org.apache.spark.mllib.linalg.Matrix;
> import org.apache.spark.mllib.linalg.Vector;
> import org.apache.spark.mllib.stat.Statistics;
> import org.apache.spark.rdd.RDD;
> import org.junit.Assert;
> import java.io.BufferedReader;
> import java.io.FileReader;
> import java.io.IOException;
> import java.math.RoundingMode;
> import java.text.DecimalFormat;
> import java.util.ArrayList;
> import java.util.Arrays;
> import java.util.List;
> import java.util.stream.Collectors;
> public class TestSparkCorr {
> private static JavaSparkContext ctx;
> public static void main(String[] args) {
> List<List<Double>> doublesLists = readInputFile();
> List<Vector> resultVectors = getVectorsList(doublesLists);
> //===========================================================================
> initSpark("*");
> RDD<Vector> RDD_vector = ctx.parallelize(resultVectors).rdd();
> Matrix m = Statistics.corr(RDD_vector, "pearson");
> stopSpark();
> //===========================================================================
> initSpark("3");
> RDD<Vector> RDD_vector_3 = ctx.parallelize(resultVectors).rdd();
> Matrix m3 = Statistics.corr(RDD_vector_3, "pearson");
> stopSpark();
> //===========================================================================
> Assert.assertEquals(m3, m);
> }
> private static List<Vector> getVectorsList(List<List<Double>> doublesLists) {
> List<Vector> resultVectors = new ArrayList<>(doublesLists.size());
> for (List<Double> vector : doublesLists) {
> double[] x = new double[vector.size()];
> for(int i = 0; i < x.length; i++){
> x[i] = vector.get(i);
> }
> resultVectors.add(new DenseVector(x));
> }
> return resultVectors;
> }
> private static List<List<Double>> readInputFile() {
> List<List<Double>> doublesLists = new ArrayList<>();
> try (BufferedReader reader = new BufferedReader(new FileReader(
> ".//output//vectorList.txt"))) {
> String line = reader.readLine();
> while (line != null) {
> String[] splitLine = line.substring(1, line.length() - 2).split(",");
> List<Double> doubles = Arrays.stream(splitLine).map(x -> Double.valueOf(x.trim())).collect(Collectors.toList());
> doublesLists.add(doubles);
> // read next line
> line = reader.readLine();
> }
> } catch (IOException e) {
> e.printStackTrace();
> }
> return doublesLists;
> }
> private static void initSpark(String coresNum) {
> final SparkConf sparkConf = new SparkConf().setAppName("Span");
> sparkConf.setMaster(String.format("local[%s]", coresNum));
> sparkConf.set("spark.ui.enabled", "false");
> ctx = new JavaSparkContext(sparkConf);
> }
> private static void stopSpark() {
> ctx.stop();
> if(ctx.sc().isStopped()){
> ctx = null;
> }
> }
> }
> {code}
>
>
>
> {code:java}
> [1.6855000257492065, 5.239999771118164, 20.40999984741211, 20.799999237060547, 20.799999237060547, 21.0, 20.34000015258789, 0.0, 0.47999998927116394, 4.0, 10.0, 234239.0, 166426.0, 0.0, 0.0, 0.0, 0.0, 2206.991943359375, 0.0, 0.0, 0.0, 0.0, 0.0, 1914.4873046875, 0.0, 0.0, 111960.171875, 6.0, 963.4541625976562, 10.597999572753906, 100.0, 0.0, 34.61000061035156, 0.0, 0.0, 0.0, 0.0, 29.0, 29.0, 24.73150062561035, 33.0, -0.5600000023841858, 33.900001525878906, 0.0, 0.0, 0.04533333331346512, 0.0, 0.0, 0.0, 0.0, 0.0, 8.050000190734863, 0.0, 0.0, 0.0, 0.0, 0.0, 896.9400024414062, 50.0, 0.0, 0.0, 0.0, 0.0, 0.0, 50.0, 0.0, 0.0, 0.3400000035762787, 0.0, 400.0, 0.0, 0.0, 0.0, 4.489999771118164, 55.599998474121094, 26100.0, 26151.806640625, 3.4200000762939453, 5.590000152587891, 2.3440001010894775, 2.1736667156219482, 0.20000000298023224, 1.5525000095367432, 2.799999952316284, 3.0429999828338623, 2.640000104904175, 2.5920000076293945, 6.010000228881836, 34.61000061035156, 5.0, 5.21999979019165, 6.397333145141602, 29.0, 4.489999771118164, 6.393166542053223, 6.396666526794434, 6.351666450500488, 29.0, 3.7899999618530273, 6.269999980926514, 6.352833271026611, 25.01216697692871, 4.0, 4.0366668701171875, 17.9858341217041, 12.300000190734863, 8.510000228881836, 99.9800033569336, 80.0, 66.44000244140625, 55.84450149536133, 55.42449951171875, 75.0, -1.2200000286102295, 0.0, 0.0, 0.0, -1.2660000324249268, 0.03999999910593033, 75.0, 0.0, 0.18000000715255737, -37.5, 0.0, 100.0, 0.0, 0.0, 0.0, 6.125666618347168, 68.30233001708984, 16000.0, 16001.650390625, 6302.94384765625, 32.84199905395508, 0.10533333569765091, 1.0, 0.0, 32.85566711425781, 54.0, 850.0, 82.81999969482422, 50.560001373291016, 52.13999938964844, 33.689998626708984, 34.220001220703125, 68.98999786376953, 68.98999786376953, 60.104000091552734, 850.0, 0.0, 840.0, 59.794498443603516, 16000.0, 0.0, 1070.0, -0.503166675567627, -0.6963333487510681, 0.0, 199.77999877929688, 0.0, 201.1199951171875, 66.3499984741211, 54.0, 54.0, 68.30650329589844, 68.1068344116211, 8.973833084106445, 4.010000228881836, 3.3399999141693115, 3.299999952316284, 0.0, 0.0, 0.0, 0.3400000035762787, 35.65999984741211, 35.0, 2.75, 0.0, 0.0, 0.009999999776482582, 0.009999999776482582, 0.009999999776482582, 0.11416666954755783, 12.0, 0.0, 0.8399999737739563, 0.0, 40.0, 0.009999999776482582, 49.0, 3.440000057220459, 95.0, -178.14999389648438, -0.03999999910593033, -0.05000000074505806, 35.0, 56.0, -0.009999999776482582, 72.46366882324219, 27.210832595825195, 27.860000610351562, 197.42999267578125, 0.3400000035762787, 359.0, 69.28250122070312, 20.474000930786133, 493.8313293457031, 274.51251220703125, 44.24516677856445, 483.9335021972656, 271.066162109375, 41.233665466308594, 20.757333755493164, 12.34000015258789, 61.36316680908203, 0.07000000029802322, 0.03999999910593033, 0.3199999928474426, 97.2300033569336, 961.7100219726562, 966.969970703125, 971.72998046875, 934.3300170898438, 2.940000057220459, 913.780029296875, 924.8599853515625]
> [0.6083333492279053, 5.239999771118164, 20.40999984741211, 20.799999237060547, 20.799999237060547, 21.0, 20.34000015258789, 0.0, 0.47999998927116394, 4.0, 10.0, 234239.0, 166426.0, 0.0, 0.0, 0.0, 0.0, 2266.98828125, 0.0, 0.0, 0.0, 0.0, 0.0, 1974.4873046875, 0.0, 0.0, 111960.171875, 6.0, 967.3909912109375, 10.303667068481445, 100.0, 0.0, 34.61000061035156, 0.0, 0.0, 0.0, 0.0, 29.0, 29.0, 25.670000076293945, 33.0, -0.5600000023841858, 33.936500549316406, 0.0, 0.0, 0.0416666679084301, 0.0, 0.0, 0.0, 0.0, 0.0, 8.050000190734863, 0.0, 0.0, 0.0, 0.0, 0.0, 896.9400024414062, 50.0, 0.0, 0.0, 0.0, 0.0, 0.0, 50.0, 0.0, 0.0, 0.3400000035762787, 0.0, 400.0, 0.0, 0.0, 0.0, 4.489999771118164, 55.599998474121094, 26100.0, 26152.466796875, 3.4200000762939453, 5.590000152587891, 2.243666648864746, 2.821333408355713, 0.20000000298023224, 2.2248332500457764, 2.799999952316284, 3.049999952316284, 2.640000104904175, 3.0399999618530273, 6.010000228881836, 34.61000061035156, 5.0, 5.21999979019165, 6.496166706085205, 29.0, 4.489999771118164, 6.490333557128906, 6.495999813079834, 6.451499938964844, 29.0, 3.7899999618530273, 6.332333564758301, 6.454333305358887, 25.366666793823242, 4.0, 4.023499965667725, 18.549999237060547, 12.967000007629395, 8.928667068481445, 99.9800033569336, 80.0, 66.44000244140625, 55.869998931884766, 55.388832092285156, 75.0, -1.2200000286102295, 0.0, 0.0, 0.0, -1.281833291053772, 0.03999999910593033, 75.0, 0.0, 0.18000000715255737, -37.5, 0.0, 100.0, 0.0, 0.0, 0.0, 5.9644999504089355, 68.6308364868164, 16000.0, 15999.212890625, 6280.1806640625, 32.864166259765625, 0.10750000178813934, 1.0, 0.0, 32.0099983215332, 54.0, 850.0, 82.81999969482422, 50.560001373291016, 52.13999938964844, 29.361833572387695, 34.220001220703125, 68.71516418457031, 68.67483520507812, 59.5099983215332, 850.0, 0.0, 840.0, 59.308998107910156, 16000.0, 0.0, 1070.0, -0.6056666374206543, -0.4883333444595337, 0.0, 199.77999877929688, 0.0, 201.1199951171875, 65.40633392333984, 54.0, 54.0, 68.63333129882812, 68.4306640625, 9.014666557312012, 4.010000228881836, 3.3399999141693115, 3.299999952316284, 0.0, 0.0, 0.0, 0.3400000035762787, 35.65999984741211, 35.0, 2.75, 0.0, 0.0, 0.009999999776482582, 0.009999999776482582, 0.009999999776482582, 0.09149999916553497, 12.0, 0.0, 0.8399999737739563, 0.0, 40.0, 0.009999999776482582, 49.0, 3.440000057220459, 95.0, -178.14999389648438, -0.03999999910593033, -0.05000000074505806, 35.0, 56.0, -0.00983333308249712, 72.68000030517578, 26.365999221801758, 27.860000610351562, 197.42999267578125, 0.3400000035762787, 359.0, 69.2135009765625, 18.760000228881836, 507.9800109863281, 282.1510009765625, 44.84400177001953, 528.5234985351562, 286.0608215332031, 42.05466842651367, 20.700166702270508, 12.34000015258789, 63.0, 0.07000000029802322, 0.03999999910593033, 0.3199999928474426, 97.44017028808594, 961.7100219726562, 966.969970703125, 971.72998046875, 934.3300170898438, 2.940000057220459, 913.780029296875, 924.8599853515625]
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> {code}
>
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