Package org.apache.mahout.math

Examples of org.apache.mahout.math.Vector

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    assertEquals("Json", format, model2.asFormatString(null));
  }

  public void testDirichletASNormalModel() {
    double[] d = { 1.1, 2.2, 3.3 };
    Vector m = new DenseVector(d);
    Printable model = new AsymmetricSampledNormalModel(m, m);
    String format = model.asFormatString(null);
    assertEquals("format", "asnm{n=0 m=[1.100, 2.200, 3.300] sd=[1.100, 2.200, 3.300]}", format);
    String json = model.asJsonString();
    GsonBuilder builder = new GsonBuilder();
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    assertEquals("Json", format, model2.asFormatString(null));
  }

  public void testDirichletL1Model() {
    double[] d = { 1.1, 2.2, 3.3 };
    Vector m = new DenseVector(d);
    Printable model = new L1Model(m);
    String format = model.asFormatString(null);
    assertEquals("format", "l1m{n=0 c=[1.100, 2.200, 3.300]}", format);
    String json = model.asJsonString();
    GsonBuilder builder = new GsonBuilder();
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    assertEquals("Json", format, model2.asFormatString(null));
  }

  public void testDirichletNormalModelClusterAsFormatString() {
    double[] d = { 1.1, 2.2, 3.3 };
    Vector m = new DenseVector(d);
    NormalModel model = new NormalModel(m, 0.75);
    Printable cluster = new DirichletCluster<VectorWritable>(model, 35.0);
    String format = cluster.asFormatString(null);
    assertEquals("format", "nm{n=0 m=[1.100, 2.200, 3.300] sd=0.75}", format);
  }
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    @Override
    public void reduce(IntWritable rowNum,
                       Iterator<VectorWritable> it,
                       OutputCollector<IntWritable,VectorWritable> out,
                       Reporter reporter) throws IOException {
      Vector accumulator;
      if(it.hasNext()) {
        accumulator = new RandomAccessSparseVector(it.next().get());
      } else {
        return;
      }
      while(it.hasNext()) {
        Vector row = it.next().get();
        row.addTo(accumulator);
      }
      out.collect(rowNum, new VectorWritable(new SequentialAccessSparseVector(accumulator)));
    }
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    assertEquals("format", "nm{n=0 m=[1.100, 2.200, 3.300] sd=0.75}", format);
  }

  public void testDirichletNormalModelClusterAsJsonString() {
    double[] d = { 1.1, 2.2, 3.3 };
    Vector m = new DenseVector(d);
    NormalModel model = new NormalModel(m, 0.75);
    Printable cluster = new DirichletCluster<VectorWritable>(model, 35.0);
    String json = cluster.asJsonString();
    GsonBuilder builder = new GsonBuilder();
    builder.registerTypeAdapter(Model.class, new JsonModelAdapter());
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    assertEquals("model", cluster.asFormatString(null), result.asFormatString(null));
  }

  public void testDirichletAsymmetricSampledNormalModelClusterAsFormatString() {
    double[] d = { 1.1, 2.2, 3.3 };
    Vector m = new DenseVector(d);
    AsymmetricSampledNormalModel model = new AsymmetricSampledNormalModel(m, m);
    Printable cluster = new DirichletCluster<VectorWritable>(model, 35.0);
    String format = cluster.asFormatString(null);
    assertEquals("format", "asnm{n=0 m=[1.100, 2.200, 3.300] sd=[1.100, 2.200, 3.300]}", format);
  }
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    assertEquals("format", "asnm{n=0 m=[1.100, 2.200, 3.300] sd=[1.100, 2.200, 3.300]}", format);
  }

  public void testDirichletAsymmetricSampledNormalModelClusterAsJsonString() {
    double[] d = { 1.1, 2.2, 3.3 };
    Vector m = new DenseVector(d);
    AsymmetricSampledNormalModel model = new AsymmetricSampledNormalModel(m, m);
    Printable cluster = new DirichletCluster<VectorWritable>(model, 35.0);
    String json = cluster.asJsonString();

    GsonBuilder builder = new GsonBuilder();
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    assertEquals("model", cluster.asFormatString(null), result.asFormatString(null));
  }

  public void testDirichletL1ModelClusterAsFormatString() {
    double[] d = { 1.1, 2.2, 3.3 };
    Vector m = new DenseVector(d);
    L1Model model = new L1Model(m);
    Printable cluster = new DirichletCluster<VectorWritable>(model, 35.0);
    String format = cluster.asFormatString(null);
    assertEquals("format", "l1m{n=0 c=[1.100, 2.200, 3.300]}", format);
  }
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    assertEquals("format", "l1m{n=0 c=[1.100, 2.200, 3.300]}", format);
  }

  public void testDirichletL1ModelClusterAsJsonString() {
    double[] d = { 1.1, 2.2, 3.3 };
    Vector m = new DenseVector(d);
    L1Model model = new L1Model(m);
    Printable cluster = new DirichletCluster<VectorWritable>(model, 35.0);
    String json = cluster.asJsonString();

    GsonBuilder builder = new GsonBuilder();
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    assertEquals("model", cluster.asFormatString(null), result.asFormatString(null));
  }

  public void testCanopyAsFormatString() {
    double[] d = { 1.1, 2.2, 3.3 };
    Vector m = new DenseVector(d);
    Printable cluster = new Canopy(m, 123);
    String formatString = cluster.asFormatString(null);
    System.out.println(formatString);
    assertEquals("format", "C123: [1.100, 2.200, 3.300]", formatString);
  }
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