How to use

ReminderLearn

in

coldash.easynlu.learn.demo

  public static void main(String[] args){
    Model model = makeReminderModel();
    Dataset dataset = Dataset.fromText("data/examples-reminders.txt");
    HParams hparams = HParams.hparams()
        .withLearnRate(0.08f)
        .withL2Penalty(0.01f)
        .set(SVMOptimizer.CORRECT_PROB, 0.4f);

    Experiment experiment = new Experiment(model, dataset, hparams,
                       "model/reminders.weights");

    // Uncomment to train the model
    //experiment.train(120, true);

    experiment.evaluate();

    // Uncomment to run model with user input
    //experiment.interactive();

  }
}

  @Test
  void saveLoad() {

    HParams hparams = HParams.hparams()
        .withLearnRate(0.08f)
        .withL2Penalty(0.01f)
        .set(SVMOptimizer.CORRECT_PROB, 0.4f);

    Dataset d = Dataset.fromText("data/examples-reminders.txt");
    Model m = makeReminderModel();
    Optimizer optimizer = new SVMOptimizer(m, hparams);

    m.train(d, optimizer,30);

    float acc = m.evaluate(d, 0);
    m.saveWeights("test-weights");

    m = makeReminderModel();
    m.loadWeights("test-weights");
    float savedAcc = m.evaluate(d, 0);

    assertEquals(acc, savedAcc, 1e-7);
  }
}