Examples with WordVectors org.deeplearning4j.models.embeddings.wordvectors.WordVectors used on opensource projects

Example 26 with WordVectors

use of org.deeplearning4j.models.embeddings.wordvectors.WordVectors in project deeplearning4j by deeplearning4j.

the class GloveTest method testGloVe1.

@Ignore
@Test
public void testGloVe1() throws Exception {
    File inputFile = new ClassPathResource("/big/raw_sentences.txt").getFile();
    SentenceIterator iter = new BasicLineIterator(inputFile.getAbsolutePath());
    // Split on white spaces in the line to get words
    TokenizerFactory t = new DefaultTokenizerFactory();
    t.setTokenPreProcessor(new CommonPreprocessor());
    Glove glove = new Glove.Builder().iterate(iter).tokenizerFactory(t).alpha(0.75).learningRate(0.1).epochs(45).xMax(100).shuffle(true).symmetric(true).build();
    glove.fit();
    double simD = glove.similarity("day", "night");
    double simP = glove.similarity("best", "police");
    log.info("Day/night similarity: " + simD);
    log.info("Best/police similarity: " + simP);
    Collection<String> words = glove.wordsNearest("day", 10);
    log.info("Nearest words to 'day': " + words);
    assertTrue(simD > 0.7);
    // actually simP should be somewhere at 0
    assertTrue(simP < 0.5);
    assertTrue(words.contains("night"));
    assertTrue(words.contains("year"));
    assertTrue(words.contains("week"));
    File tempFile = File.createTempFile("glove", "temp");
    tempFile.deleteOnExit();
    INDArray day1 = glove.getWordVectorMatrix("day").dup();
    WordVectorSerializer.writeWordVectors(glove, tempFile);
    WordVectors vectors = WordVectorSerializer.loadTxtVectors(tempFile);
    INDArray day2 = vectors.getWordVectorMatrix("day").dup();
    assertEquals(day1, day2);
    tempFile.delete();
}