Examples with StatSummary utilities.StatSummary used on opensource projects

Example 81 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class SimpleRMHC method runTrial.

/**
 * @param evaluator
 * @param maxEvals
 * @return: the solution coded as an array of int
 */
@Override
public int[] runTrial(SolutionEvaluator evaluator, int maxEvals) {
    init(evaluator);
    StatSummary fitBest = fitness(evaluator, bestYet, new StatSummary());
    // create a mutator if it has not already been made
    if (mutator == null)
        mutator = new DefaultMutator(searchSpace);
    else
        mutator.setSearchSpace(searchSpace);
    while (evaluator.nEvals() < maxEvals && !evaluator.optimalFound()) {
        // System.out.println("nEvals: " + evaluator.nEvals());
        int[] mut = mutator.randMut(bestYet);
        // int[] mut = randMutAll(bestYet);
        // int[] mut = randAll(bestYet);
        int oneBits = 0;
        for (int x : bestYet) oneBits += x;
        if (oneBits == 10 && TestFHT.foundOpt == false) {
            TestFHT.foundOpt = true;
        // System.out.println("Stumbled on opt: " + Arrays.toString(a));
        }
        // keep track of how much we want to mutate this
        int prevEvals = evaluator.nEvals();
        StatSummary fitMut = fitness(evaluator, mut, new StatSummary());
        if (accumulateBestYetStats) {
            fitBest = fitness(evaluator, bestYet, fitBest);
        } else {
            if (resampleParent) {
                fitBest = fitness(evaluator, bestYet, new StatSummary());
            }
        }
        // System.out.println(fitBest.mean() + " : " + fitMut.mean());
        if (fitMut.mean() >= fitBest.mean()) {
            // System.out.println("Updating best");
            bestYet = mut;
            fitBest = fitMut;
            evaluator.logger().keepBest(mut, fitMut.mean());
            if (noisy) {
                Double opt = evaluator.optimalIfKnown();
                if (opt != null) {
                    if (fitMut.mean() >= opt + epsilon) {
                        return bestYet;
                    }
                }
            }
        }
        int evalDiff = evaluator.nEvals() - prevEvals;
        for (int i = 0; i < evalDiff; i++) {
            evaluator.logger().logBestYest(bestYet);
        }
    }
    // System.out.println("Sampling rate: " + nSamples);
    return bestYet;
}

Example 82 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class GeneralGameRunner method reset.

public void reset() {
    scores = new StatSummary("Game score stats");
    nGames = 0;
    p1Wins = 0;
    p2Wins = 0;
}

Example 83 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class RandomTestAsteroids method main.

public static void main(String[] args) {
    int nTrials = 100;
    SimplePlayerInterface player = new RandomAgent();
    StatSummary ss = new StatSummary("Random Player on Asteroids");
    ElapsedTimer t = new ElapsedTimer();
    for (int i = 0; i < nTrials; i++) {
        ss.add(evaluate(player));
    }
    System.out.println(ss);
    System.out.println();
    System.out.println(t);
}

Example 84 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class LinePlot method setData.

public LinePlot setData(ArrayList<Double> x) {
    line = new ArrayList<>();
    sy = new StatSummary();
    for (double p : x) {
        line.add(p);
        sy.add(p);
    }
    return this;
}

Example 85 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class LinePlot method setData.

public LinePlot setData(double[] x) {
    line = new ArrayList<>();
    sy = new StatSummary();
    for (double p : x) {
        line.add(p);
        sy.add(p);
    }
    return this;
}