Package org.apache.mahout.matrix

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

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  private static List<Vector> getPoints(double[][] raw) {
    List<Vector> points = new ArrayList<Vector>();
    for (double[] fr : raw) {
      Vector vec = new SparseVector(fr.length);
      vec.assign(fr);
      points.add(vec);
    }
    return points;
  }
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  private static List<Vector> getPoints(double[][] raw) {
    List<Vector> points = new ArrayList<Vector>();
    int i = 0;
    for (double[] fr : raw) {
      Vector vec = new SparseVector(String.valueOf(i++), fr.length);
      vec.assign(fr);
      points.add(vec);
    }
    return points;
  }
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    public Vector next() {
      if (!hasNext()) {
        throw new NoSuchElementException();
      }
      Vector result = type == VectorType.SPARSE ? new SparseVector(numItems) : new DenseVector(numItems);
      result.assign(new UnaryFunction(){
        @Override
        public double apply(double arg1) {
          return random.nextDouble();
        }
      });
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    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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    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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  public static List<Vector> getPoints(double[][] raw) {
    List<Vector> points = new ArrayList<Vector>();
    for (int i = 0; i < raw.length; i++) {
      double[] fr = raw[i];
      Vector vec = new SparseVector(String.valueOf(i), fr.length);
      vec.assign(fr);
      points.add(vec);
    }
    return points;
  }
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    super.plotSampleData(g);
    Graphics2D g2 = (Graphics2D) g;
    Vector dv = new DenseVector(2);
    for (Canopy canopy : canopies) {
      if (canopy.getNumPoints() > sampleData.size() * 0.05) {
        dv.assign(t1);
        g2.setColor(colors[0]);
        plotEllipse(g2, canopy.getCenter(), dv);
        dv.assign(t2);
        plotEllipse(g2, canopy.getCenter(), dv);
      }
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    for (Canopy canopy : canopies) {
      if (canopy.getNumPoints() > sampleData.size() * 0.05) {
        dv.assign(t1);
        g2.setColor(colors[0]);
        plotEllipse(g2, canopy.getCenter(), dv);
        dv.assign(t2);
        plotEllipse(g2, canopy.getCenter(), dv);
      }
    }
  }

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    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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    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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