Examples with StatSummary utilities.StatSummary used on opensource projects

Example 51 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class NTupleBanditEA method runTrial.

@Override
public int[] runTrial(SolutionEvaluator evaluator, int nEvals) {
    this.evaluator = evaluator;
    // set  up some convenient references
    SearchSpace searchSpace = evaluator.searchSpace();
    EvolutionLogger logger = evaluator.logger();
    DefaultMutator mutator = new DefaultMutator(searchSpace);
    banditLandscapeModel.setSearchSpace(searchSpace);
    nNeighbours = (int) Math.min(nNeighbours, SearchSpaceUtil.size(searchSpace) / 4);
    System.out.println("Set neighbours to: " + nNeighbours);
    if (banditLandscapeModel == null) {
        System.out.println("NTupleBanditEA.runTrial: Creating new landscape model");
        banditLandscapeModel = new NTupleSystem().setSearchSpace(searchSpace);
    }
    // create an NTuple fitness landscape model if needed
    if (resetModelEachRun) {
        System.out.println("NTupleBanditEA.runTrial: resetting landscape model");
        banditLandscapeModel.reset();
    }
    // then each time around the loop try the following
    // create a neighbourhood set of points and pick the best one that combines it's exploitation and evaluation scores
    StatSummary ss = new StatSummary();
    int[] p;
    if (seed == null) {
        p = SearchSpaceUtil.randomPoint(searchSpace);
    } else {
        p = seed;
    }
    while (evaluator.nEvals() < nEvals) {
        // each time around the loop we make one fitness evaluation of p
        // and add this NEW information to the memory
        int prevEvals = evaluator.nEvals();
        // the new version enables resampling
        double fitness;
        if (nSamples == 1) {
            fitness = evaluator.evaluate(p);
        } else {
            fitness = fitness(evaluator, p).mean();
        }
        if (reportFrequency > 0 && evaluator.nEvals() % reportFrequency == 0) {
            System.out.format("Iteration: %d\t %.1f\n", evaluator.nEvals(), fitness);
            System.out.println(evaluator.logger().ss);
            System.out.println();
        // System.out.println(p.length);
        // System.out.println(p);
        }
        ElapsedTimer t = new ElapsedTimer();
        banditLandscapeModel.addPoint(p, fitness);
        // ss.add(t.elapsed());
        // System.out.println(ss);
        // System.out.println("N Neighbours: " + nNeighbours);
        EvaluateChoices evc = new EvaluateChoices(banditLandscapeModel, kExplore);
        while (evc.n() < nNeighbours) {
            int[] pp = mutator.randMut(p);
            evc.add(pp);
        }
        // evc.report();
        // now set the next point to explore
        p = evc.picker.getBest();
        // logger.keepBest(picker.getBest(), picker.getBestScore());
        int diffEvals = evaluator.nEvals() - prevEvals;
        if (logBestYet) {
            int[] bestYet = banditLandscapeModel.getBestOfSampled();
            for (int i = 0; i < diffEvals; i++) {
                evaluator.logger().logBestYest(bestYet);
            }
        }
    // System.out.println("Best solution: " + Arrays.toString(evc.picker.getBest()) + "\t: " + evc.picker.getBestScore());
    }
    // System.out.println("Time for calling addPoint: ");
    // System.out.println(ss);
    // int[] solution = banditLandscapeModel.getBestSolution();
    int[] solution = banditLandscapeModel.getBestOfSampled();
    // int[] solution = banditLandscapeModel.getBestOfSampledPlusNeighbours(neighboursWhenFindingBest);
    logger.keepBest(solution, evaluator.evaluate(solution));
    return solution;
}

Example 52 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class StatSummarySpeed method main.

// create a number of stat summary objects
// creates more than 1 million in half a second ...
public static void main(String[] args) {
    int n = (int) 1e6;
    StatSummary[] ssa = new StatSummary[n];
    ElapsedTimer t = new ElapsedTimer();
    for (int i = 0; i < n; i++) {
        ssa[i] = new StatSummary();
        ssa[i].add(i);
    }
    System.out.println("Created: " + n);
    System.out.println(t);
}

Example 53 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class CompactSlidingGA method fitness.

static StatSummary fitness(SolutionEvaluator evaluator, int[] sol, int nSamples) {
    StatSummary ss = new StatSummary();
    for (int i = 0; i < nSamples; i++) {
        double fitness = evaluator.evaluate(sol);
        ss.add(fitness);
    }
    return ss;
}

Example 54 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class CompactSlidingModelGA method fitness.

static StatSummary fitness(SolutionEvaluator evaluator, int[] sol, int nSamples) {
    StatSummary ss = new StatSummary();
    for (int i = 0; i < nSamples; i++) {
        double fitness = evaluator.evaluate(sol);
        ss.add(fitness);
    }
    return ss;
}

Example 55 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class ConvMazeTest method runTrials.

public StatSummary runTrials(int nDimenions, int nTrials) throws Exception {
    StatSummary ss = new StatSummary();
    ArrayList<int[][]> examples = new ArrayList<>();
    // System.out.println(examples);
    rankCorrelation = new RankCorrelation();
    ElapsedTimer timer = new ElapsedTimer();
    for (int i = 0; i < nTrials; i++) {
        evaluator = new ShortestPathTest();
        System.out.println("N DIMS = " + evaluator.searchSpace().nDims());
        ElapsedTimer t = new ElapsedTimer();
        NTupleBanditEA nTupleBanditEA = new NTupleBanditEA().setKExplore(nDimenions);
        nTupleBanditEA.setKExplore(10).setNeighbours(50);
        convNTuple.reset();
        nTupleBanditEA.setModel(convNTuple);
        // nTupleBanditEA.s
        int[] solution = nTupleBanditEA.runTrial(evaluator, nEvals);
        System.out.println("Solution array: " + Arrays.toString(solution));
        System.out.println(t);
        double fitness = evaluator.evaluate(solution);
        ss.add(fitness);
        System.out.println("Checking fitness: " + fitness);
        examples.add(toSquareArray(solution));
        System.out.println("Rank correlation check:");
        // rankCorrelation.rankCorrelation();
        convNTuple.report(evaluator);
        MazeView.showMaze(solution, "" + fitness);
        System.out.println(timer);
    }
    if (createFiles) {
        System.out.println("Created mazes");
        Gson gson = new GsonBuilder().setPrettyPrinting().create();
        String out = gson.toJson(examples);
        System.out.println("Created JSON String");
        // System.out.println(out);
        String outputFile = "data/mazes.json";
        PrintWriter writer = new PrintWriter(outputFile);
        writer.print(out);
        writer.close();
        System.out.println("Wrote file with " + examples.size() + " examples");
    }
    return ss;
}