Package org.encog.util

Examples of org.encog.util.Stopwatch

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  /**
   * {@inheritDoc}
   */
  @Override
  public final void run() {
    final Stopwatch watch = new Stopwatch();
    try {
      watch.start();

      this.currentJob.createTrainer(this.manager.isSingleThreaded());
      final MLTrain train = this.currentJob.getTrain();
      int interation = 1;

      while (this.currentJob.shouldContinue()) {
        train.iteration();
        interation++;
      }
      watch.stop();
    } catch (final Throwable t) {
      this.currentJob.setError(t);
    } finally {
      this.ready.set(true);
      this.manager.jobDone(watch.getElapsedMilliseconds(), this);
    }
  }
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    MLDataSet trainingSet = new BasicMLDataSet(input, output);

    // train the neural network
    MLTrain train = new Backpropagation(network, trainingSet, 0.7, 0.7);

    Stopwatch sw = new Stopwatch();
    sw.start();
    // run epoch of learning procedure
    for (int i = 0; i < ITERATIONS; i++) {
      train.iteration();
    }
    sw.stop();

    return sw.getElapsedMilliseconds();
  }
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        network, trainingSet, 0.7, 0.7);

    double[] a = new double[2];
    double[] b = new double[1];

    Stopwatch sw = new Stopwatch();
    sw.start();
    // run epoch of learning procedure
    for (int i = 0; i < ITERATIONS; i++) {
      train.iteration();
    }
    sw.stop();

    return sw.getElapsedMilliseconds();
  }
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        network, trainingSet, 0.7, 0.7);

    double[] a = new double[2];
    double[] b = new double[1];

    Stopwatch sw = new Stopwatch();
    sw.start();
    // run epoch of learning procedure
    for (int i = 0; i < ITERATIONS; i++) {
      train.iteration();
    }
    sw.stop();

    return sw.getElapsedMilliseconds();
  }
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        network, trainingSet, 0.7, 0.7);

    double[] a = new double[2];
    double[] b = new double[1];

    Stopwatch sw = new Stopwatch();
    sw.start();
    // run epoch of learning procedure
    for (int i = 0; i < ITERATIONS; i++) {
      train.iteration();
    }
    sw.stop();

    return sw.getElapsedMilliseconds();
  }
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  /**
   * {@inheritDoc}
   */
  @Override
  public void run() {
    final Stopwatch watch = new Stopwatch();
    try {
      watch.start();

      this.currentJob.createTrainer(this.manager.isSingleThreaded());
      final MLTrain train = this.currentJob.getTrain();
      int interation = 1;

      while (this.currentJob.shouldContinue()) {
        train.iteration();
        interation++;
      }
      watch.stop();
    } catch (final Throwable t) {
      this.currentJob.setError(t);
    } finally {
      this.ready.set(true);
      this.manager.jobDone(watch.getElapsedMilliseconds(), this);
    }
  }
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Related Classes of org.encog.util.Stopwatch

  • org.encog.examples.neural.benchmark.AverageBenchmark
  • org.encog.examples.neural.benchmark.SimpleBenchmark
  • org.encog.neural.networks.training.concurrent.performers.ConcurrentTrainingPerformerCPU
  • org.encog.plugins.opencl.example.OpenCLBenchmark
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