Examples with MultiStatistics jcog.math.MultiStatistics used on opensource projects

Example 1 with MultiStatistics

use of jcog.math.MultiStatistics 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);
}