Examples with StatSummary utilities.StatSummary used on opensource projects

Example 61 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class NTuple method add.

public void add(int[] x, double v) {
    // for each address that occurs, we're going to store something
    StatSummary ss = getStatsForceCreate(x);
    ss.add(v);
    nSamples++;
}

Example 62 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class NTuple method getStatsForceCreate.

/**
 * Get stats but force creation if it does not already exists
 * @param x
 * @return
 */
public StatSummary getStatsForceCreate(int[] x) {
    double address = address(x);
    if (ntArray != null) {
        StatSummary ss = ntArray[(int) address];
        if (ss == null) {
            ss = new StatSummary();
            nEntries++;
            ntArray[(int) address] = ss;
        }
        return ss;
    } else {
        StatSummary ss = ntMap.get(address);
        if (ss == null) {
            ss = new StatSummary();
            nEntries++;
            ntMap.put(address, ss);
        }
        return ss;
    }
}

Example 63 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class NTupleBanditEA method fitness.

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

Example 64 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class NTupleSystemTest method main.

// create a way to make N-Tuple systems ...
public static void main(String[] args) {
    // NTupleSystem nts = new NTupleSystem(new TenSpace(nDims, 2));
    int m = 2;
    FitnessSpace evalTrue = new EvalNoisyWinRate(nDims, m);
    FitnessSpace evalNoisy = new EvalNoisyWinRate(nDims, m, 1.0);
    NTupleSystem nts = new NTupleSystem();
    nts.setSearchSpace(evalNoisy);
    // nts.addTuples();
    // nts.printSummaryReport();
    // nts = new NTupleSystem(BattleGameSearchSpace.getSearchSpace());
    // nts.addTuples();
    // now add some random data
    ElapsedTimer t = new ElapsedTimer();
    double[] hist = new double[50];
    int nReps = 1;
    int nPoints = 1000;
    nPoints = (int) SearchSpaceUtil.size(nts.searchSpace);
    nPoints *= 100;
    for (int i = 0; i < nPoints; i++) {
        int[] p = SearchSpaceUtil.randomPoint(nts.searchSpace);
        for (int j = 0; j < nReps; j++) {
            double value = evalNoisy.evaluate(p);
            // index of histogram calculation assumes that
            // value is in range 0 .. 1
            int ix = (int) (value * (hist.length - 1));
            // System.out.println(ix) + ;
            // hist[ix]++;
            nts.addPoint(p, value);
        }
    }
    // BarChart.display(hist, "Distribution");
    System.out.format("Added %d points\n", nPoints);
    nts.printSummaryReport();
    System.out.println(t);
    System.out.println("Now testing ...");
    System.out.println(t);
    // nPoints = 1000;
    StatSummary ss = new StatSummary();
    Ranker<Integer> trueRank = new Ranker<>();
    Ranker<Integer> estRank = new Ranker<>();
    // ensure we sample all the points in the search space when testing
    nPoints = (int) SearchSpaceUtil.size(nts.searchSpace);
    // the rank correlation was originally computed in-ine in the code,
    // but this method has now been superceded by a separate utility class
    // whose use is also demonstrated
    RankCorrelation rc = new RankCorrelation();
    for (int i = 0; i < nPoints; i++) {
        int[] p = SearchSpaceUtil.randomPoint(nts.searchSpace);
        p = SearchSpaceUtil.nthPoint(nts.searchSpace, i);
        // make the value depend on a few of the indices rather than
        // the actual values, just for a simple test
        // System.out.println("Probing: " + Arrays.toString(p));
        // Double value = nts.get(p);
        Double value = nts.getMeanEstimate(p);
        if (value != null) {
            double trueVal = evalTrue.evaluate(p);
            double diff = Math.abs(trueVal - value);
            rc.add(i, value, trueVal);
            ss.add(diff);
            // System.out.format("%d\t %.34f\t %.4f\n", i, value, trueVal);
            trueRank.add(trueVal, i);
            estRank.add(value, i);
        // System.out.println();
        }
    // System.out.println(ss);
    // nts.addPoint(p, value);
    // System.out.println("Returned value = " + value);
    // System.out.println();
    }
    System.out.println();
    System.out.println(ss);
    System.out.println(t);
    // now show the ranks
    double sumSquaredDiff = 0;
    for (int i = 0; i < nPoints; i++) {
        // System.out.println(i + "\t " + trueRank.getRank(i) + "\t " + estRank.getRank(i));
        int[] x = SearchSpaceUtil.nthPoint(nts.searchSpace, i);
        // System.out.println(Arrays.toString(nts.getExplorationVector(x)) + " : " + nts.getExplorationEstimate(x));
        // System.out.println();
        sumSquaredDiff += sqr(trueRank.getRank(i) - estRank.getRank(i));
    }
    // System.out.println("diffSum = " + sumSquaredDiff);
    double spearmanCoefficient = 1 - sumSquaredDiff * 6 / (nPoints * nPoints * nPoints - nPoints);
    System.out.format("Spearman correlation = %.4f\n", spearmanCoefficient);
    System.out.println("And the RankCorrelation utility class test: ");
    double rankCorrelation = rc.rankCorrelation();
    System.out.println("RC = " + rankCorrelation);
// nts.printDetailedReport();
}

Example 65 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class PatternDistribution method add.

public PatternDistribution add(Pattern p, double w) {
    StatSummary ss = statMap.get(p);
    if (ss == null) {
        ss = new StatSummary();
        statMap.put(p, ss);
    }
    ss.add(w);
    tot += w;
    return this;
}