Examples with StatSummary utilities.StatSummary used on opensource projects

Example 31 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class TestEAGraph method resetStats.

public void resetStats() {
    nTrueOpt = new StatSummary("n true optima");
    trueFit = new StatSummary("true fitness stats");
    linePlots = new ArrayList<>();
}

Example 32 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class SimpleEvaluator method evaluate.

public double evaluate(ParamValues evoParams, int nEvals) {
    StatSummary ss = new StatSummary();
    for (int i = 0; i < nEvals; i++) {
        ss.add(evaluateOnce(evoParams));
    }
    System.out.println(ss);
    return ss.mean();
}

Example 33 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class EvoSGATest method runTrial.

public static double runTrial(EvoAlg evoAlg) {
    // ok, so the idea here is to modify ...
    SimpleGASearchSpace eval = new SimpleGASearchSpace();
    System.out.println("Search space size: " + SearchSpaceUtil.size(eval.searchSpace()));
    eval.setEvaluator(new EvalMaxM(50, 2, 0.0));
    int[] solution = evoAlg.runTrial(eval, 5000);
    // int[] solution = {0, 0, 0};
    System.out.println("Checking fitness");
    StatSummary ss = new StatSummary("Mean fitness");
    int nChecks = 50;
    for (int i = 0; i < nChecks; i++) {
        ss.add(eval.evaluate(solution));
    }
    System.out.println(ss);
    System.out.println("Solution: " + Arrays.toString(solution));
    System.out.println(eval.report(solution));
    return ss.mean();
}

Example 34 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class OneMaxTest method main.

public static void main(String[] args) {
    int minDim = 10;
    int maxDim = 10;
    int step = 10;
    int nReps = 100;
    ElapsedTimer t = new ElapsedTimer();
    ArrayList<Double> means = new ArrayList<>();
    System.out.println("N Samples per Fitness Eval = " + nVirtualSamples);
    for (int i = minDim; i <= maxDim; i += step) {
        // see how well actual evals matches prediction
        StatSummary ss = new StatSummary();
        for (int j = 0; j < nReps; j++) {
            Integer nEvals = runTest(i);
            if (nEvals != null)
                ss.add(nEvals * nVirtualSamples);
        }
        System.out.println(ss);
        means.add(ss.mean());
        System.out.println(i + "\t " + ss.mean() + "\t " + predictNEvals(i));
    }
    System.out.println(t);
    BarChart.display(means, "OneMax Scaling");
}

Example 35 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class OneMaxTestResampled method main.

public static void main(String[] args) {
    int minDim = 100;
    int maxDim = 100;
    int step = 10;
    int nReps = 100;
    ElapsedTimer t = new ElapsedTimer();
    ArrayList<Double> means = new ArrayList<>();
    System.out.println("N Samples per Fitness Eval = " + nActualSamples);
    for (int i = minDim; i <= maxDim; i += step) {
        // see how well actual evals matches prediction
        StatSummary ss = new StatSummary();
        for (int j = 0; j < nReps; j++) {
            Integer nEvals = runTest(i);
            if (nEvals != null)
                ss.add(nEvals);
        }
        System.out.println(ss);
        means.add(ss.mean());
        System.out.println(i + "\t " + ss.mean() + "\t " + predictNEvals(i));
    }
    System.out.println(t);
    BarChart.display(means, "OneMax Scaling");
}