Package org.apache.mahout.math

Examples of org.apache.mahout.math.Vector.assign()

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  @Test
  public void testMSCanopyAsFormatStringSparseWithBindings() {
    double[] d = { 1.1, 0.0, 3.3 };
    Vector m = new SequentialAccessSparseVector(3);
    m.assign(d);
    Cluster cluster = new MeanShiftCanopy(m, 123, measure);
    String[] bindings = { "fee", null, "foo" };
    String formatString = cluster.asFormatString(bindings);
    assertEquals("MSC-123{n=0 c=[fee:1.100, foo:3.300] r=[]}", formatString);
  }
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  private static List<VectorWritable> getPoints() {
    List<VectorWritable> points = Lists.newArrayList();
    for (double[] fr : RAW) {
      Vector vec = new RandomAccessSparseVector(fr.length);
      vec.assign(fr);
      points.add(new VectorWritable(vec));
    }
    return points;
  }
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  private static List<VectorWritable> getPointsWritable(double[][] raw) {
    List<VectorWritable> points = Lists.newArrayList();
    for (double[] fr : raw) {
      Vector vec = new RandomAccessSparseVector(fr.length);
      vec.assign(fr);
      points.add(new VectorWritable(vec));
    }
    return points;
  }
 
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  public static List<VectorWritable> getPointsWritable(double[][] raw) {
    List<VectorWritable> points = Lists.newArrayList();
    for (double[] fr : raw) {
      Vector vec = new SequentialAccessSparseVector(fr.length);
      vec.assign(fr);
      points.add(new VectorWritable(vec));
    }
    return points;
  }
 
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  }

  @Test
  public void testMatrixTimesVector() throws Exception {
    Vector v = new RandomAccessSparseVector(50);
    v.assign(1.0);
    Matrix m = SolverTest.randomSequentialAccessSparseMatrix(100, 90, 50, 20, 1.0);
    DistributedRowMatrix dm = randomDistributedMatrix(100, 90, 50, 20, 1.0, false);

    Vector expected = m.times(v);
    Vector actual = dm.times(v);
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  }

  @Test
  public void testMatrixTimesSquaredVector() throws Exception {
    Vector v = new RandomAccessSparseVector(50);
    v.assign(1.0);
    Matrix m = SolverTest.randomSequentialAccessSparseMatrix(100, 90, 50, 20, 1.0);
    DistributedRowMatrix dm = randomDistributedMatrix(100, 90, 50, 20, 1.0, false);

    Vector expected = m.timesSquared(v);
    Vector actual = dm.timesSquared(v);
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    Path baseTmpDirPath = getTestTempDirPath("testpaths");   
    Path inputPath = new Path(baseTmpDirPath, "input");
    Path outputPath = new Path(baseTmpDirPath, "output");

    Vector v = new RandomAccessSparseVector(50);
    v.assign(1.0);

    Configuration timesSquaredJobConf1 = TimesSquaredJob.createTimesSquaredJobConf(v, inputPath, outputPath);
    Configuration customTimesSquaredJobConf1 = TimesSquaredJob.createTimesSquaredJobConf(initialConf, v, inputPath, outputPath);

    assertNull(timesSquaredJobConf1.get(TEST_PROPERTY_KEY));
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  @Test
  public void testTimesVectorTempDirDeletion() throws Exception {
    Configuration conf = new Configuration();
    Vector v = new RandomAccessSparseVector(50);
    v.assign(1.0);
    DistributedRowMatrix dm = randomDistributedMatrix(100, 90, 50, 20, 1.0, false);

    Path outputPath = dm.getOutputTempPath();
    FileSystem fs = outputPath.getFileSystem(conf);
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  @Test
  public void testTimesSquaredVectorTempDirDeletion() throws Exception {
    Configuration conf = new Configuration();
    Vector v = new RandomAccessSparseVector(50);
    v.assign(1.0);
    DistributedRowMatrix dm = randomDistributedMatrix(100, 90, 50, 20, 1.0, false);

    Path outputPath = dm.getOutputTempPath();
    FileSystem fs = outputPath.getFileSystem(conf);
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  public static List<VectorWritable> getPointsWritable(double[][] raw) {
    List<VectorWritable> points = Lists.newArrayList();
    for (double[] fr : raw) {
      Vector vec = new RandomAccessSparseVector(fr.length);
      vec.assign(fr);
      points.add(new VectorWritable(vec));
    }
    return points;
  }
 
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