Package org.apache.mahout.matrix

Examples of org.apache.mahout.matrix.DenseVector

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  }

  @SuppressWarnings("unchecked")
  public void testNormalModelSerialization() {
    double[] m = {1.1, 2.2};
    Model<?> model = new NormalModel(new DenseVector(m), 3.3);
    GsonBuilder builder = new GsonBuilder();
    builder.registerTypeAdapter(Vector.class, new JsonVectorAdapter());
    Gson gson = builder.create();
    String jsonString = gson.toJson(model);
    Model<?> model2 = gson.fromJson(jsonString, NormalModel.class);
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    List<Double> doubles = new ArrayList<Double>();
    for (String value : numbers) {
      if (value.length() > 0)
        doubles.add(Double.valueOf(value));
    }
    Vector point = new DenseVector(doubles.size());
    int index = 0;
    for (Double d : doubles)
      point.set(index++, d);
    MeanShiftCanopy canopy = new MeanShiftCanopy(point);
    output.collect(new Text(), canopy);
  }
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    double sx = (double) res / ds;
    g2.setTransform(AffineTransform.getScaleInstance(sx, sx));

    // plot the axes
    g2.setColor(Color.BLACK);
    Vector dv = new DenseVector(2).assign(size / 2.0);
    Vector dv1 = new DenseVector(2).assign(MeanShiftCanopy.getT1());
    Vector dv2 = new DenseVector(2).assign(MeanShiftCanopy.getT2());
    plotRectangle(g2, new DenseVector(2).assign(2), dv);
    plotRectangle(g2, new DenseVector(2).assign(-2), dv);

    // plot the sample data
    g2.setColor(Color.DARK_GRAY);
    dv.assign(0.03);
    for (Vector v : sampleData)
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  @Override
  public void paint(Graphics g) {
    plotSampleData(g);
    Graphics2D g2 = (Graphics2D) g;
    Vector dv = new DenseVector(2);
    int i = clusters.size() - 1;
    for (List<SoftCluster> cls : clusters) {
      g2.setStroke(new BasicStroke(i == 0 ? 3 : 1));
      g2.setColor(colors[Math.min(colors.length - 1, i--)]);
      for (SoftCluster cluster : cls) {
        //if (true || cluster.getWeightedPointTotal().zSum() > sampleData.size() * 0.05) {
          dv.assign(cluster.std() * 3);
          plotEllipse(g2, cluster.getCenter(), dv);
        //}
      }
    }
  }
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  @Override
  public void paint(Graphics g) {
    super.plotSampleData(g);
    Graphics2D g2 = (Graphics2D) g;
    Vector dv = new DenseVector(2);
    int i = clusters.size() - 1;
    for (List<Cluster> cls : clusters) {
      g2.setStroke(new BasicStroke(i == 0 ? 3 : 1));
      g2.setColor(colors[Math.min(colors.length - 1, i--)]);
      for (Cluster cluster : cls) {
        //if (true || cluster.getNumPoints() > sampleData.size() * 0.05) {
          dv.assign(cluster.getStd() * 3);
          plotEllipse(g2, cluster.getCenter(), dv);
        //}
      }
    }
  }
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  @Override
  public void paint(Graphics g) {
    super.plotSampleData(g);
    Graphics2D g2 = (Graphics2D) g;

    Vector dv = new DenseVector(2);
    int i = result.size() - 1;
    for (Model<Vector>[] models : result) {
      g2.setStroke(new BasicStroke(i == 0 ? 3 : 1));
      g2.setColor(colors[Math.min(colors.length - 1, i--)]);
      for (Model<Vector> m : models) {
        AsymmetricSampledNormalModel mm = (AsymmetricSampledNormalModel) m;
        dv.assign(mm.getStdDev().times(3));
        if (isSignificant(mm))
          plotEllipse(g2, mm.getMean(), dv);
      }
    }
  }
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  @Override
  public void paint(Graphics g) {
    super.plotSampleData(g);
    Graphics2D g2 = (Graphics2D) g;

    Vector dv = new DenseVector(2);
    int i = result.size() - 1;
    for (Model<Vector>[] models : result) {
      g2.setStroke(new BasicStroke(i == 0 ? 3 : 1));
      g2.setColor(colors[Math.min(colors.length - 1, i--)]);
      for (Model<Vector> m : models) {
        NormalModel mm = (NormalModel) m;
        dv.assign(mm.getStdDev() * 3);
        if (isSignificant(mm))
          plotEllipse(g2, mm.getMean(), dv);
      }
    }
  }
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  @Override
  public void paint(Graphics g) {
    super.plotSampleData(g);
    Graphics2D g2 = (Graphics2D) g;

    Vector dv = new DenseVector(2);
    int i = result.size() - 1;
    for (Model<Vector>[] models : result) {
      g2.setStroke(new BasicStroke(i == 0 ? 3 : 1));
      g2.setColor(colors[Math.min(colors.length - 1, i--)]);
      for (Model<Vector> m : models) {
        NormalModel mm = (NormalModel) m;
        dv.assign(mm.getStdDev() * 3);
        if (isSignificant(mm))
          plotEllipse(g2, mm.getMean(), dv);
      }
    }
  }
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  // Override the paint() method
  @Override
  public void paint(Graphics g) {
    Graphics2D g2 = (Graphics2D) g;
    plotSampleData(g);
    Vector v = new DenseVector(2);
    Vector dv = new DenseVector(2);
    g2.setColor(Color.RED);
    for (Vector param : sampleParams) {
      v.set(0, param.get(0));
      v.set(1, param.get(1));
      dv.set(0, param.get(2) * 3);
      dv.set(1, param.get(3) * 3);
      plotEllipse(g2, v, dv);
    }
  }
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    double sx = (double) res / ds;
    g2.setTransform(AffineTransform.getScaleInstance(sx, sx));

    // plot the axes
    g2.setColor(Color.BLACK);
    Vector dv = new DenseVector(2).assign(size / 2.0);
    plotRectangle(g2, new DenseVector(2).assign(2), dv);
    plotRectangle(g2, new DenseVector(2).assign(-2), dv);

    // plot the sample data
    g2.setColor(Color.DARK_GRAY);
    dv.assign(0.03);
    for (Vector v : sampleData)
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Related Classes of org.apache.mahout.matrix.DenseVector

  • org.apache.hadoop.io.Text
  • org.apache.mahout.clustering.canopy.DisplayCanopy
  • org.apache.mahout.clustering.dirichlet.DirichletClusterer
  • org.apache.mahout.clustering.dirichlet.DirichletMapper
  • org.apache.mahout.clustering.dirichlet.DirichletState
  • org.apache.mahout.clustering.dirichlet.Display2dASNDirichlet
  • org.apache.mahout.clustering.dirichlet.DisplayASNDirichlet
  • org.apache.mahout.clustering.dirichlet.DisplayASNOutputState
  • org.apache.mahout.clustering.dirichlet.DisplayDirichlet
  • org.apache.mahout.clustering.dirichlet.DisplayNDirichlet
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