Package org.apache.mahout.clustering.dirichlet.models

Examples of org.apache.mahout.clustering.dirichlet.models.NormalModel

208
209
210
211
212
213
214
215
216
217
218
219
220
  }

  @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);
    assertEquals("models", model.toString(), model2.toString());
  }
View Full Code Here
301
302
303
304
305
306
307
308
309
310
311
    builder.registerTypeAdapter(Vector.class, new JsonVectorAdapter());
    builder
        .registerTypeAdapter(ModelHolder.class, new JsonModelHolderAdapter());
    Gson gson = builder.create();
    double[] d = {1.1, 2.2};
    ModelHolder mh = new ModelHolder(new NormalModel(new DenseVector(d), 3.3));
    String format = gson.toJson(mh);
    System.out.println(format);
    ModelHolder mh2 = gson.fromJson(format, ModelHolder.class);
    assertEquals("mh", mh.getModel().toString(), mh2.getModel().toString());
  }
View Full Code Here
44
45
46
47
48
49
50
51
52
53
54
55
    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);
      }
    }
  }
View Full Code Here
44
45
46
47
48
49
50
51
52
53
54
55
    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);
      }
    }
  }
View Full Code Here
35
36
37
38
39
40
41
42
43
    Model<Vector>[] result = new NormalModel[howMany];
    for (int i = 0; i < howMany; i++) {
      DenseVector mean = new DenseVector(60);
      for (int j = 0; j < 60; j++)
        mean.set(j, UncommonDistributions.rNorm(30, 0.5));
      result[i] = new NormalModel(mean, 1);
    }
    return result;
  }
View Full Code Here
44
45
46
47
48
49
50
51
52
53
  @Override
  public Model<Vector>[] sampleFromPosterior(Model<Vector>[] posterior) {
    Model<Vector>[] result = new NormalModel[posterior.length];
    for (int i = 0; i < posterior.length; i++) {
      NormalModel m = (NormalModel) posterior[i];
      result[i] = m.sample();
    }
    return result;
  }
View Full Code Here
TOP

Related Classes of org.apache.mahout.clustering.dirichlet.models.NormalModel

  • com.google.gson.Gson
  • com.google.gson.GsonBuilder
  • org.apache.mahout.clustering.dirichlet.DisplayNDirichlet
  • org.apache.mahout.clustering.dirichlet.DisplayOutputState
  • org.apache.mahout.clustering.dirichlet.DisplaySNDirichlet
  • org.apache.mahout.clustering.dirichlet.JsonModelAdapter
  • org.apache.mahout.clustering.dirichlet.TestMapReduce
  • org.apache.mahout.clustering.JsonModelAdapter
  • org.apache.mahout.clustering.syntheticcontrol.dirichlet.NormalScModelDistribution
  • org.apache.mahout.clustering.TestClusterInterface
    • Copyright © 2018 www.massapicom. All rights reserved.
    All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.