Examples of Embedding

com.clearnlp.morphology.Embedding
@since 2.0.2 @author Jinho D. Choi ({@code jdchoi77@gmail.com})
com.mysql.clusterj.jpatest.model.Embedding
dded age int, // embedded magic int not null, primary key(id)) engine=ndbcluster; create unique index idx_unique_hash_magic using hash on t_basic(magic); create index idx_btree_age on t_basic(age);
edu.stanford.nlp.neural.Embedding
@author Minh-Thang Luong @author John Bauer @author Richard Socher

Examples of com.clearnlp.morphology.Embedding

  {
    Element eEmbed = UTXml.getFirstElementByTagName(eConfig, "embedding");
    if (eEmbed == null)  return null;
    
    String path = UTXml.getTrimmedTextContent(eEmbed);
    Embedding embed = null;
    
    try
    {
      ObjectInputStream in = new ObjectInputStream(new BufferedInputStream(new FileInputStream(path)));
      embed = (Embedding)in.readObject();

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Examples of com.mysql.clusterj.jpatest.model.Embedding


    public void test() {
        removeAll(Embedding.class);
        em.getTransaction().begin();
        for (int i = 0; i < NUMBER_OF_INSTANCES ; ++i) {
            Embedding e = createEmbedding(i);
            em.persist(e);
        }
        em.getTransaction().commit();
    }

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Examples of com.mysql.clusterj.jpatest.model.Embedding


    private Embedding createEmbedding(int i) {
        Embedded embedded = new Embedded();
        embedded.setAge(i);
        embedded.setName("Embedded " + i);
        Embedding embedding = new Embedding();
        embedding.setId(i);
        embedding.setMagic(i);
        embedding.setEmbedded(embedded);
        return embedding;
    }

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Examples of edu.stanford.nlp.neural.Embedding

      wordVectors.put(word, vector);
    }
  }


  void readWordVectors() {
    Embedding embedding = new Embedding(op.wordVectors, op.numHid);
    this.wordVectors = Generics.newTreeMap();
//    Map<String, SimpleMatrix> rawWordVectors = NeuralUtils.readRawWordVectors(op.wordVectors, op.numHid);
//    for (String word : rawWordVectors.keySet()) {
    for (String word : embedding.keySet()) {
      // TODO: factor out unknown word vector code from DVParser
      wordVectors.put(word, embedding.get(word));
    }


    String unkWord = op.unkWord;
    SimpleMatrix unknownWordVector = wordVectors.get(unkWord);
    wordVectors.put(UNKNOWN_WORD, unknownWordVector);

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Examples of edu.stanford.nlp.neural.Embedding

    int chineseYearCount = 0;
    int chineseNumberCount = 0;
    int chinesePercentCount = 0;


    //Map<String, SimpleMatrix> rawWordVectors = NeuralUtils.readRawWordVectors(op.lexOptions.wordVectorFile, op.lexOptions.numHid);
    Embedding rawWordVectors = new Embedding(op.lexOptions.wordVectorFile, op.lexOptions.numHid);


    for (String word : rawWordVectors.keySet()) {
      SimpleMatrix vector = rawWordVectors.get(word);


      if (op.wordFunction != null) {
        word = op.wordFunction.apply(word);
      }

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