Package org.apache.mahout.math

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

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  @Test
  public void testClusterAsFormatStringSparseWithBindings() {
    double[] d = { 1.1, 0.0, 3.3 };
    Vector m = new SequentialAccessSparseVector(3);
    m.assign(d);
    Cluster cluster = new org.apache.mahout.clustering.kmeans.Cluster(m, 123, measure);
    String formatString = cluster.asFormatString(null);
    assertEquals("CL-123{n=0 c=[0:1.100, 2:3.300] r=[]}", formatString);
  }
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  @Test
  public void testMSCanopyAsFormatStringSparse() {
    double[] d = { 1.1, 0.0, 3.3 };
    Vector m = new SequentialAccessSparseVector(3);
    m.assign(d);
    Cluster cluster = new MeanShiftCanopy(m, 123, measure);
    String formatString = cluster.asFormatString(null);
    assertEquals("MSC-123{n=0 c=[0:1.100, 2:3.300] r=[]}", formatString);
  }
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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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          SequenceFile.createWriter(fs, conf, tempSequenceFile,
              IntWritable.class, VectorWritable.class);
      for (int i = 0; i < testPoints; i++) {
        key.set(i);
        Vector v = new SequentialAccessSparseVector(4);
        v.assign(i);
        value.set(v);
        writer.append(key, value);
      }
    } finally {
      IOUtils.closeStream(writer);
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  public static List<Vector> getPoints(double[][] raw) {
    List<Vector> points = Lists.newArrayList();
    for (double[] fr : raw) {
      Vector vec = new SequentialAccessSparseVector(fr.length);
      vec.assign(fr);
      points.add(vec);
    }
    return points;
  }
 
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  @Test
  public void testCanopyAsFormatStringSparse() {
    double[] d = { 1.1, 0.0, 3.3 };
    Vector m = new SequentialAccessSparseVector(3);
    m.assign(d);
    Cluster cluster = new Canopy(m, 123, measure);
    String formatString = cluster.asFormatString(null);
    assertEquals("C-123{n=0 c=[0:1.100, 2:3.300] r=[]}", formatString);
  }
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  @Test
  public void testCanopyAsFormatStringSparseWithBindings() {
    double[] d = { 1.1, 0.0, 3.3 };
    Vector m = new SequentialAccessSparseVector(3);
    m.assign(d);
    Cluster cluster = new Canopy(m, 123, measure);
    String formatString = cluster.asFormatString(null);
    assertEquals("C-123{n=0 c=[0:1.100, 2:3.300] r=[]}", formatString);
  }
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  @Test
  public void testClusterAsFormatStringSparse() {
    double[] d = { 1.1, 0.0, 3.3 };
    Vector m = new SequentialAccessSparseVector(3);
    m.assign(d);
    Cluster cluster = new org.apache.mahout.clustering.kmeans.Kluster(m, 123, measure);
    String formatString = cluster.asFormatString(null);
    assertEquals("CL-123{n=0 c=[0:1.100, 2:3.300] r=[]}", formatString);
  }
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  @Test
  public void testClusterAsFormatStringSparseWithBindings() {
    double[] d = { 1.1, 0.0, 3.3 };
    Vector m = new SequentialAccessSparseVector(3);
    m.assign(d);
    Cluster cluster = new org.apache.mahout.clustering.kmeans.Kluster(m, 123, measure);
    String formatString = cluster.asFormatString(null);
    assertEquals("CL-123{n=0 c=[0:1.100, 2:3.300] r=[]}", formatString);
  }
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  public static List<Vector> getPoints(double[][] raw) {
    List<Vector> points = Lists.newArrayList();
    for (double[] fr : raw) {
      Vector vec = new SequentialAccessSparseVector(fr.length);
      vec.assign(fr);
      points.add(vec);
    }
    return points;
  }
 
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