Examples with StatSummary utilities.StatSummary used on opensource projects

Example 16 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class CompactBinaryGA 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 17 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class ConvNTuple method report.

public void report(SolutionEvaluator evaluator) {
    System.out.println();
    System.out.println("Indexes used: " + sampleDis.statMap.size());
    System.out.println();
    if (!verbose)
        return;
    StatSummary errorStats = new StatSummary();
    RankCorrelation rankCorrelation = new RankCorrelation();
    int index = 0;
    for (int[] p : solutions) {
        // System.out.println(countOnes(p) + " : " + getMeanEstimate(p) + " : " + Arrays.toString(p));
        double fitness = evaluator.evaluate(p);
        double estimate = getMeanEstimate(p);
        errorStats.add(Math.abs(fitness - estimate));
        rankCorrelation.add(index++, fitness, estimate);
    }
    System.out.println("Error Stats");
    System.out.println(errorStats);
    System.out.println();
    rankCorrelation.rankCorrelation();
}

Example 18 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class ConvNTuple method getMeanEstimate.

@Override
public Double getMeanEstimate(int[] x) {
    StatSummary ssTot = new StatSummary("Summary stats exploit");
    for (int[] index : indices) {
        double address = address(x, index);
        StatSummary ss = sampleDis.statMap.get(address);
        if (ss != null && ss.n() > 0) {
            if (useWeightedMean) {
                ssTot.add(ss);
            } else {
                ssTot.add(ss.mean());
            }
        }
    }
    // need to cope with an empty summary
    if (ssTot.n() == 0)
        ssTot.add(defaultMeanEstimate);
    // System.out.println();
    return ssTot.mean();
}

Example 19 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class ConvNTuple method report.

public void report() {
    StatSummary errorStats = new StatSummary();
    for (int[] p : solutions) {
        // System.out.println(countOnes(p) + " : " + getMeanEstimate(p) + " : " + Arrays.toString(p));
        errorStats.add(Math.abs(countOnes(p) - getMeanEstimate(p)));
    }
    // System.out.println("Error Stats");
    // System.out.println(errorStats);
    System.out.println("Indexes used: " + sampleDis.statMap.size());
}

Example 20 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class GeneMeanModel method generate.

public int generate() {
    double alpha = gainFactor / nValues;
    // add the numbers to ...
    StatSummary rangeStats = new StatSummary();
    // find the range
    // but ensure it's not too small
    rangeStats.add(0);
    rangeStats.add(1);
    for (StatSummary ss : stats) {
        if (ss.n() > 0) {
            rangeStats.add(ss.mean());
        }
    }
    // double range = rangeStats.max() - rangeStats.min();
    // having got the range we now map these values in to the new range
    // when computing the softmax function
    RangeMapper map = new RangeMapper(rangeStats.min(), rangeStats.max(), 0, alpha);
    // now put all the numbers through the map
    double totExp = 0;
    for (StatSummary ss : stats) {
        totExp += Math.exp(map.map(safeMean(ss)));
    // System.out.println("Summing exp denom: " + totExp + " <- " + map.map(safeMean(ss)));
    }
    // now pick one
    // System.out.println("Tot exp = " + totExp);
    double x = random.nextDouble() * totExp;
    double tot = 0;
    for (int i = 0; i < nValues; i++) {
        tot += Math.exp(map.map(safeMean(i)));
        if (x <= tot)
            return i;
    }
    throw new RuntimeException("Failed to return a valid option in GenePairedModel");
}