Examples of asJsonString()

Examples of org.apache.mahout.clustering.Cluster.asJsonString()

168
169
170
171
172
173
174
175
176
177
178
        try {
          Writable key = reader.getKeyClass().asSubclass(Writable.class).newInstance();
          Writable value = reader.getValueClass().asSubclass(Writable.class).newInstance();
          while (reader.next(key, value)) {
            Cluster cluster = (Cluster) value;
            String fmtStr = useJSON ? cluster.asJsonString() : cluster.asFormatString(dictionary);
            if (subString > 0 && fmtStr.length() > subString) {
              writer.write(':');
              writer.write(fmtStr, 0, Math.min(subString, fmtStr.length()));
            } else {
              writer.write(fmtStr);
View Full Code Here

Examples of org.apache.mahout.clustering.dirichlet.DirichletCluster.asJsonString()

119
120
121
122
123
124
125
126
127
128
129
  public void testDirichletNormalModelClusterAsJsonString() {
    double[] d = { 1.1, 2.2, 3.3 };
    Vector m = new DenseVector(d);
    NormalModel model = new NormalModel(5, m, 0.75);
    Cluster cluster = new DirichletCluster(model, 35.0);
    String json = cluster.asJsonString();
    GsonBuilder builder = new GsonBuilder();
    builder.registerTypeAdapter(Cluster.class, new JsonClusterModelAdapter());
    Gson gson = builder.create();
    DirichletCluster result = gson.fromJson(json, CLUSTER_TYPE);
    assertNotNull("result null", result);
View Full Code Here

Examples of org.apache.mahout.clustering.dirichlet.DirichletCluster.asJsonString()

144
145
146
147
148
149
150
151
152
153
154
  public void testDirichletAsymmetricSampledNormalModelClusterAsJsonString() {
    double[] d = { 1.1, 2.2, 3.3 };
    Vector m = new DenseVector(d);
    AsymmetricSampledNormalModel model = new AsymmetricSampledNormalModel(5, m, m);
    Cluster cluster = new DirichletCluster(model, 35.0);
    String json = cluster.asJsonString();

    GsonBuilder builder = new GsonBuilder();
    builder.registerTypeAdapter(Cluster.class, new JsonClusterModelAdapter());
    Gson gson = builder.create();
    DirichletCluster result = gson.fromJson(json, CLUSTER_TYPE);
View Full Code Here

Examples of org.apache.mahout.clustering.dirichlet.DirichletCluster.asJsonString()

170
171
172
173
174
175
176
177
178
179
180
  public void testDirichletL1ModelClusterAsJsonString() {
    double[] d = { 1.1, 2.2, 3.3 };
    Vector m = new DenseVector(d);
    L1Model model = new L1Model(5, m);
    Cluster cluster = new DirichletCluster(model, 35.0);
    String json = cluster.asJsonString();

    GsonBuilder builder = new GsonBuilder();
    builder.registerTypeAdapter(Cluster.class, new JsonClusterModelAdapter());
    Gson gson = builder.create();
    DirichletCluster result = gson.fromJson(json, CLUSTER_TYPE);
View Full Code Here

Examples of org.apache.mahout.clustering.dirichlet.models.AbstractVectorModelDistribution.asJsonString()

241
242
243
244
245
246
247
248
249
250
251
        DefaultOptionCreator.SEQUENTIAL_METHOD };
    new DirichletDriver().run(args);
    // and inspect results
    Collection<List<DirichletCluster>> clusters = new ArrayList<List<DirichletCluster>>();
    Configuration conf = new Configuration();
    conf.set(DirichletDriver.MODEL_DISTRIBUTION_KEY, modelDistribution.asJsonString());
    conf.set(DirichletDriver.NUM_CLUSTERS_KEY, "20");
    conf.set(DirichletDriver.ALPHA_0_KEY, "1.0");
    for (int i = 0; i <= maxIterations; i++) {
      conf.set(DirichletDriver.STATE_IN_KEY, new Path(getTestTempDirPath("output"), "clusters-" + i).toString());
      clusters.add(DirichletMapper.getDirichletState(conf).getClusters());
View Full Code Here

Examples of org.apache.mahout.clustering.dirichlet.models.AbstractVectorModelDistribution.asJsonString()

273
274
275
276
277
278
279
280
281
282
283
        optKey(DefaultOptionCreator.CLUSTERING_OPTION) };
    ToolRunner.run(new Configuration(), new DirichletDriver(), args);
    // and inspect results
    Collection<List<DirichletCluster>> clusters = new ArrayList<List<DirichletCluster>>();
    Configuration conf = new Configuration();
    conf.set(DirichletDriver.MODEL_DISTRIBUTION_KEY, modelDistribution.asJsonString());
    conf.set(DirichletDriver.NUM_CLUSTERS_KEY, "20");
    conf.set(DirichletDriver.ALPHA_0_KEY, "1.0");
    for (int i = 0; i <= maxIterations; i++) {
      conf.set(DirichletDriver.STATE_IN_KEY, new Path(getTestTempDirPath("output"), "clusters-" + i).toString());
      clusters.add(DirichletMapper.getDirichletState(conf).getClusters());
View Full Code Here

Examples of org.apache.mahout.clustering.dirichlet.models.AbstractVectorModelDistribution.asJsonString()

304
305
306
307
308
309
310
311
312
313
314
                        true,
                        0,
                        false);
    // and inspect results
    List<List<DirichletCluster>> clusters = new ArrayList<List<DirichletCluster>>();
    conf.set(DirichletDriver.MODEL_DISTRIBUTION_KEY, modelDistribution.asJsonString());
    conf.set(DirichletDriver.NUM_CLUSTERS_KEY, "20");
    conf.set(DirichletDriver.ALPHA_0_KEY, "1.0");
    for (int i = 0; i <= maxIterations; i++) {
      conf.set(DirichletDriver.STATE_IN_KEY, new Path(getTestTempDirPath("output"), "clusters-" + i).toString());
      clusters.add(DirichletMapper.getDirichletState(conf).getClusters());
View Full Code Here

Examples of org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel.asJsonString()

79
80
81
82
83
84
85
86
87
88
89
    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();
    builder.registerTypeAdapter(Model.class, new JsonModelAdapter());
    Gson gson = builder.create();
    AsymmetricSampledNormalModel model2 = gson.fromJson(json, modelType);
    assertEquals("Json", format, model2.asFormatString(null));
View Full Code Here

Examples of org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel.asJsonString()

80
81
82
83
84
85
86
87
88
89
90
    double[] d = { 1.1, 2.2, 3.3 };
    Vector m = new DenseVector(d);
    Cluster model = new AsymmetricSampledNormalModel(5, 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();
    builder.registerTypeAdapter(Model.class, new JsonModelAdapter());
    Gson gson = builder.create();
    AsymmetricSampledNormalModel model2 = gson.fromJson(json, MODEL_TYPE);
    assertEquals("Json", format, model2.asFormatString(null));
View Full Code Here

Examples of org.apache.mahout.clustering.dirichlet.models.DistanceMeasureClusterDistribution.asJsonString()

47
48
49
50
51
52
53
54
55
56
57
  @Test
  public void testDMClusterDistribution() {
    DistanceMeasureClusterDistribution dist =
        new DistanceMeasureClusterDistribution(new VectorWritable(new DenseVector(2)));
    String json = dist.asJsonString();
    GsonBuilder builder = new GsonBuilder();
    builder.registerTypeAdapter(ModelDistribution.class, new JsonModelDistributionAdapter());
    builder.registerTypeAdapter(DistanceMeasure.class, new JsonDistanceMeasureAdapter());
    Gson gson = builder.create();
    DistanceMeasureClusterDistribution dist1 = (DistanceMeasureClusterDistribution) gson
View Full Code Here
TOP
Copyright © 2018 www.massapi.com. 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.