Examples with MonitoredObject com.simiacryptus.util.MonitoredObject used on opensource projects

Example 1 with MonitoredObject

use of com.simiacryptus.util.MonitoredObject in project MindsEye by SimiaCryptus.

the class MnistTestBase method report.

/**
 * Report.
 *
 * @param log            the log
 * @param monitoringRoot the monitoring root
 * @param history        the history
 * @param network        the network
 */
public void report(@Nonnull final NotebookOutput log, @Nonnull final MonitoredObject monitoringRoot, @Nonnull final List<Step> history, @Nonnull final Layer network) {
    if (!history.isEmpty()) {
        log.code(() -> {
            @Nonnull final PlotCanvas plot = ScatterPlot.plot(history.stream().map(step -> new double[] { step.iteration, Math.log10(step.point.getMean()) }).toArray(i -> new double[i][]));
            plot.setTitle("Convergence Plot");
            plot.setAxisLabels("Iteration", "log10(Fitness)");
            plot.setSize(600, 400);
            return plot;
        });
    }
    @Nonnull final String modelName = "model" + modelNo++ + ".json";
    log.p("Saved model as " + log.file(network.getJson().toString(), modelName, modelName));
    log.h1("Metrics");
    log.code(() -> {
        try {
            @Nonnull final ByteArrayOutputStream out = new ByteArrayOutputStream();
            JsonUtil.writeJson(out, monitoringRoot.getMetrics());
            return out.toString();
        } catch (@Nonnull final IOException e) {
            throw new RuntimeException(e);
        }
    });
}

Example 2 with MonitoredObject

use of com.simiacryptus.util.MonitoredObject in project MindsEye by SimiaCryptus.

the class MnistTestBase method run.

/**
 * Run.
 *
 * @param log the log
 */
public void run(@Nonnull NotebookOutput log) {
    @Nonnull final List<Step> history = new ArrayList<>();
    @Nonnull final MonitoredObject monitoringRoot = new MonitoredObject();
    @Nonnull final TrainingMonitor monitor = getMonitor(history);
    final Tensor[][] trainingData = getTrainingData(log);
    final DAGNetwork network = buildModel(log);
    addMonitoring(network, monitoringRoot);
    log.h1("Training");
    train(log, network, trainingData, monitor);
    report(log, monitoringRoot, history, network);
    validate(log, network);
    removeMonitoring(network);
}