Examples with CSVOutput jcog.meter.event.CSVOutput used on opensource projects

Example 1 with CSVOutput

use of jcog.meter.event.CSVOutput in project narchy by automenta.

the class RTreeBeliefTableTest method testAccuracy.

static void testAccuracy(int dur, int period, int end, int cap, LongToFloatFunction func) {
    NAR n = NARS.shell();
    n.time.dur(dur);
    Term term = $.p("x");
    // 1. populate
    // n.log();
    TaskConcept c = (TaskConcept) n.conceptualize(term);
    @NotNull BeliefTable cb = true ? c.beliefs() : c.goals();
    cb.setCapacity(0, cap);
    // int numTasks = 0;
    System.out.println("points:");
    long time;
    long start = n.time();
    while ((time = n.time()) < end) {
        float f = func.valueOf(time);
        System.out.print(time + "=" + f + "\t");
        n.input($.task(term, BELIEF, f, 0.9f).time(time).setPriThen(0.5f).apply(n));
        n.run(period);
        c.beliefs().print();
        System.out.println();
    // numTasks++;
    }
    System.out.println();
    System.out.println();
    MultiStatistics<Task> m = new MultiStatistics<Task>().classify("input", (t) -> t.isInput()).classify("derived", (t) -> t instanceof DerivedTask).value("pri", (t) -> t.pri()).value2D("truth", (t) -> new float[] { t.freq(), t.conf() }).value("freqErr", (t) -> Math.abs(((t.freq() - 0.5f) * 2f) - func.valueOf(t.mid()))).add(c.beliefs().streamTasks().collect(toList()));
    System.out.println();
    m.print();
    System.out.println();
    c.beliefs().print();
    // 2. validate and calculate error
    CSVOutput csv = new CSVOutput(System.out, "time", "actual", "approx");
    double errSum = 0;
    for (long i = start; i < end; i++) {
        float actual = func.valueOf(i);
        Truth actualTruth = n.beliefTruth(term, i);
        float approx, err;
        if (actualTruth != null) {
            approx = actualTruth.freq();
            err = Math.abs(approx - actual);
        } else {
            approx = Float.NaN;
            err = 1f;
        }
        errSum += err;
        csv.out(i, actual, approx);
    // System.out.println(n2(i) + "\t" + /*n2(err) + "\t" + */ n2(expected) + "\t" + n2(actual));
    }
    double avgErr = errSum / (end - start + 1);
    System.out.println();
    System.out.println(n4(avgErr) + " avg freq err per point");
    assertTrue(avgErr < 0.1f);
}

Example 2 with CSVOutput

use of jcog.meter.event.CSVOutput in project narchy by automenta.

the class Optimize method run.

public Result<X> run(int maxIterations, int repeats, FloatFunction<Supplier<X>> eval) {
    assert (repeats >= 1);
    final int dim = tweaks.size();
    double[] mid = new double[dim];
    // double[] sigma = new double[n];
    double[] min = new double[dim];
    double[] max = new double[dim];
    double[] inc = new double[dim];
    // double[] range = new double[dim];
    X example = subject.get();
    int i = 0;
    for (Tweak w : tweaks) {
        TweakFloat s = (TweakFloat) w;
        // initial guess: get from sample, otherwise midpoint of min/max range
        Object guess = s.get(example);
        mid[i] = guess != null ? ((float) guess) : ((s.getMax() + s.getMin()) / 2f);
        min[i] = (s.getMin());
        max[i] = (s.getMax());
        inc[i] = s.getInc();
        // range[i] = max[i] - min[i];
        // sigma[i] = Math.abs(max[i] - min[i]) * 0.75f; //(s.getInc());
        i++;
    }
    FasterList<DoubleObjectPair<double[]>> experiments = new FasterList<>(maxIterations);
    final double[] maxScore = { Double.NEGATIVE_INFINITY };
    ObjectiveFunction func = new ObjectiveFunction(point -> {
        double score;
        try {
            double sum = 0;
            for (int r = 0; r < repeats; r++) {
                Supplier<X> x = () -> subject(point);
                sum += eval.floatValueOf(x);
            }
            score = sum / repeats;
        } catch (Exception e) {
            logger.error("{} {} {}", this, point, e);
            score = Float.NEGATIVE_INFINITY;
        }
        if (trace)
            csv.out(ArrayUtils.add(point, (int) 0, score));
        maxScore[0] = Math.max(maxScore[0], score);
        // System.out.println(
        // n4(score) + " / " + n4(maxScore[0]) + "\t" + n4(point)
        // );
        experiments.add(pair(score, point));
        experimentIteration(point, score);
        return score;
    });
    if (trace)
        csv = new CSVOutput(System.out, Stream.concat(Stream.of("score"), tweaks.stream().map(t -> t.id)).toArray(String[]::new));
    experimentStart();
    try {
        solve(dim, func, mid, min, max, inc, maxIterations);
    } catch (Throwable t) {
        logger.info("solve {} {}", func, t);
    }
    return new Result<>(experiments, tweaks);
}