Examples with StatSummary utilities.StatSummary used on opensource projects

Example 71 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class GameActionSpaceAdapterMulti method reset.

@Override
public void reset() {
    // no action is needed apart from resetting the count;
    // the state is defined by the stateObservation that is passed to this
    logger.reset();
    deltas = new StatSummary();
    linePlots = new ArrayList<>();
    nEvals = 0;
}

Example 72 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class TestEA method runTrials.

public static StatSummary runTrials(EvoAlg ea, SolutionEvaluator evaluator, SolutionEvaluator noiseFree, int nTrials, int nFitnessEvals) {
    // record the time stats
    StatSummary ss = new StatSummary();
    ssOpt = new StatSummary();
    nOpt = new StatSummary();
    ntOpt = new StatSummary();
    ntPerf = new StatSummary();
    for (int i = 0; i < nTrials; i++) {
        ElapsedTimer t = new ElapsedTimer();
        evaluator.reset();
        NTupleSystem nts = new NTupleSystem();
        nts.setSearchSpace(evaluator.searchSpace());
        ea.setModel(nts);
        ea.runTrial(evaluator, nFitnessEvals);
        // System.out.println("Ran the trial");
        // System.out.println(t);
        // foundOpt is 1 if the optimum was visted, zero otherwise
        int foundOpt = evaluator.logger().nOptimal() > 0 ? 1 : 0;
        // evaluator.logger().nOptimal() );
        nOpt.add(foundOpt);
        // System.out.println(t);
        // evaluator.logger().report();
        // System.out.println();
        double trueFit = noiseFree.evaluate(evaluator.logger().finalSolution());
        // System.out.println("\t True fit = " + trueFit);
        ss.add(trueFit);
        ssOpt.add(trueFit == evaluator.searchSpace().nDims() ? 1 : 0);
        // nts.printDetailedReport();
        if (nts != null) {
            double ntFit = noiseFree.evaluate(nts.getBestSolution());
            ntPerf.add(ntFit == evaluator.searchSpace().nDims() ? 1 : 0);
            ntOpt.add(ntFit);
        }
    // System.out.println("Retrieved from the N-Tuple");
    // System.out.println(t);
    // System.out.println();
    // System.out.println();
    }
    return ss;
}

Example 73 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class TestFHT method resetStats.

public void resetStats() {
    trueFit = new StatSummary("true fitness stats");
    nTrueOpt = new StatSummary("n true optima");
    nFalseOpt = new StatSummary("FHT optima");
}

Example 74 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class TestFHT method main.

public static void main(String[] args) {
    int nSamples = 1;
    SimpleRMHC rmhc = new SimpleRMHC(nSamples);
    // now perform the evaluation with and without FHT
    // in order to do this we need access to the solution
    int nDims = 10;
    // make this 2 for bit strings
    int mValues = 2;
    double noise = 1.0;
    NoisySolutionEvaluator evaluator = new EvalMaxM(nDims, mValues, noise);
    // evaluator = new EvalNoisyWinRate(nDims, mValues, noise);
    int nReps = 10000;
    int nFitnessEvals = 500;
    TestFHT testFHT = new TestFHT(evaluator, nFitnessEvals);
    DefaultMutator.defaultPointProb = 1;
    // DefaultMutator.flipAtLeastOneValueDefault = false;
    System.out.println("Problem: " + evaluator.getClass().getSimpleName());
    System.out.println("N Fitness Evals: " + nFitnessEvals);
    System.out.println("Noise: " + noise);
    System.out.println("N Dimensions: " + nDims);
    System.out.println("n Resamples: " + nSamples);
    System.out.println("Algorithm: " + rmhc.getClass().getSimpleName());
    System.out.println("Flip at least one? " + DefaultMutator.flipAtLeastOneValueDefault);
    System.out.println("Mutation probability: " + DefaultMutator.defaultPointProb);
    StatSummary nEvals = new StatSummary("nEvals");
    for (int i = 0; i < nReps; i++) {
        // System.out.println("Trial: " + i);
        foundOpt = false;
        testFHT.runTrial(rmhc);
        nEvals.add(evaluator.nEvals());
        check.add(foundOpt ? 1 : 0);
    // System.out.println(testFHT.nTrueOpt);
    // System.out.println(testFHT.trueFit);
    // System.out.println(testFHT.nFalseOpt);
    // System.out.println();
    }
    System.out.println(nEvals);
    System.out.println("Final results:");
    System.out.println(testFHT.trueFit);
    System.out.println(testFHT.nTrueOpt);
    System.out.println();
    System.out.println(testFHT.nFalseOpt);
    System.out.println();
    System.out.println(check);
}

Example 75 with StatSummary

use of utilities.StatSummary in project SimpleAsteroids by ljialin.

the class ShortestPathTest method main.

public static void main(String[] args) {
    int n = 16;
    int nReps = 5;
    StatSummary ssTimes = new StatSummary();
    StatSummary ssResults = new StatSummary();
    for (int i = 0; i < nReps; i++) {
        ElapsedTimer et = new ElapsedTimer();
        Integer shortest = runOnce(n);
        if (shortest != null)
            ssResults.add(shortest);
        ssTimes.add(et.elapsed());
    }
    System.out.println("Results");
    System.out.println(ssResults);
    System.out.println("Times");
    System.out.println(ssTimes);
}