Package org.apache.mahout.matrix

Examples of org.apache.mahout.matrix.JsonVectorAdapter

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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);
    assertEquals("models", model.toString(), model2.toString());
  }
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  @SuppressWarnings("unchecked")
  public void testNormalModelDistributionSerialization() {
    NormalModelDistribution dist = new NormalModelDistribution();
    Model<?>[] models = dist.sampleFromPrior(20);
    GsonBuilder builder = new GsonBuilder();
    builder.registerTypeAdapter(Vector.class, new JsonVectorAdapter());
    Gson gson = builder.create();
    String jsonString = gson.toJson(models);
    Model<?>[] models2 = gson.fromJson(jsonString, NormalModel[].class);
    assertEquals("models", models.length, models2.length);
    for (int i = 0; i < models.length; i++) {
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  @SuppressWarnings("unchecked")
  public void testSampledNormalModelSerialization() {
    double[] m = {1.1, 2.2};
    Model<?> model = new SampledNormalModel(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, SampledNormalModel.class);
    assertEquals("models", model.toString(), model2.toString());
  }
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  @SuppressWarnings("unchecked")
  public void testSampledNormalDistributionSerialization() {
    SampledNormalDistribution dist = new SampledNormalDistribution();
    Model[] models = dist.sampleFromPrior(20);
    GsonBuilder builder = new GsonBuilder();
    builder.registerTypeAdapter(Vector.class, new JsonVectorAdapter());
    Gson gson = builder.create();
    String jsonString = gson.toJson(models);
    Model[] models2 = gson.fromJson(jsonString, SampledNormalModel[].class);
    assertEquals("models", models.length, models2.length);
    for (int i = 0; i < models.length; i++) {
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    double[] m = {1.1, 2.2};
    double[] s = {3.3, 4.4};
    Model<?> model = new AsymmetricSampledNormalModel(new DenseVector(m),
        new DenseVector(s));
    GsonBuilder builder = new GsonBuilder();
    builder.registerTypeAdapter(Vector.class, new JsonVectorAdapter());
    Gson gson = builder.create();
    String jsonString = gson.toJson(model);
    Model<?> model2 = gson
        .fromJson(jsonString, AsymmetricSampledNormalModel.class);
    assertEquals("models", model.toString(), model2.toString());
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  @SuppressWarnings("unchecked")
  public void testAsymmetricSampledNormalDistributionSerialization() {
    AsymmetricSampledNormalDistribution dist = new AsymmetricSampledNormalDistribution();
    Model[] models = dist.sampleFromPrior(20);
    GsonBuilder builder = new GsonBuilder();
    builder.registerTypeAdapter(Vector.class, new JsonVectorAdapter());
    Gson gson = builder.create();
    String jsonString = gson.toJson(models);
    Model[] models2 = gson.fromJson(jsonString,
        AsymmetricSampledNormalModel[].class);
    assertEquals("models", models.length, models2.length);
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  }

  @SuppressWarnings("unchecked")
  public void testModelHolderSerialization() {
    GsonBuilder builder = new GsonBuilder();
    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));
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  }

  @SuppressWarnings("unchecked")
  public void testModelHolderSerialization2() {
    GsonBuilder builder = new GsonBuilder();
    builder.registerTypeAdapter(Vector.class, new JsonVectorAdapter());
    builder
        .registerTypeAdapter(ModelHolder.class, new JsonModelHolderAdapter());
    Gson gson = builder.create();
    double[] d = {1.1, 2.2};
    double[] s = {3.3, 4.4};
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  /** Format the canopy for output */
  public static String formatCanopy(MeanShiftCanopy canopy) {
    Type vectorType = new TypeToken<Vector>() {
    }.getType();
    GsonBuilder gBuilder = new GsonBuilder();
    gBuilder.registerTypeAdapter(vectorType, new JsonVectorAdapter());
    Gson gson = gBuilder.create();
    return gson.toJson(canopy, MeanShiftCanopy.class);
  }
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   */
  public static MeanShiftCanopy decodeCanopy(String formattedString) {
    Type vectorType = new TypeToken<Vector>() {
    }.getType();
    GsonBuilder gBuilder = new GsonBuilder();
    gBuilder.registerTypeAdapter(vectorType, new JsonVectorAdapter());
    Gson gson = gBuilder.create();
    return gson.fromJson(formattedString, MeanShiftCanopy.class);
  }
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Related Classes of org.apache.mahout.matrix.JsonVectorAdapter

  • com.google.gson.Gson
  • com.google.gson.GsonBuilder
  • com.google.gson.JsonObject
  • com.google.gson.JsonPrimitive
  • org.apache.mahout.clustering.dirichlet.DirichletCluster
  • org.apache.mahout.clustering.dirichlet.JsonDirichletStateAdapter
  • org.apache.mahout.clustering.dirichlet.JsonModelAdapter
  • org.apache.mahout.clustering.dirichlet.TestMapReduce
  • org.apache.mahout.clustering.meanshift.MeanShiftCanopy
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