Example usage for org.apache.mahout.cf.taste.impl.common FullRunningAverageAndStdDev FullRunningAverageAndStdDev

Introduction

In this page you can find the example usage for org.apache.mahout.cf.taste.impl.common FullRunningAverageAndStdDev FullRunningAverageAndStdDev.

Prototype

public FullRunningAverageAndStdDev() 

Source Link

Usage

From source file:lib.eval.AbstractRecommenderEvaluator.java

License:Apache License

private static Collection<Callable<Void>> wrapWithStatsCallables(Collection<Callable<Void>> callables,
        AtomicInteger noEstimateCounter) {
    int size = callables.size();
    Collection<Callable<Void>> wrapped = new ArrayList<Callable<Void>>(size);
    int count = 0;
    RunningAverageAndStdDev timing = new FullRunningAverageAndStdDev();
    for (Callable<Void> callable : callables) {
        boolean logStats = count++ % 200 == 0; // log every 200 or so iterations
        wrapped.add(new StatsCallable(callable, logStats, timing, noEstimateCounter));
    }//from  ww  w  . j  a  v a 2  s. c o m
    return wrapped;
}

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From source file:net.myrrix.common.stats.RunningStatistics.java

License:Apache License

public RunningStatistics() {
    this(new FullRunningAverageAndStdDev(), Double.NaN, Double.NaN);
}

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From source file:net.ufida.info.mahout.common.MemoryDiffStorage.java

License:Apache License

private RunningAverage buildRunningAverage() {
    return stdDevWeighted ? new FullRunningAverageAndStdDev() : new FullRunningAverage();
}

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From source file:recommender.GenericRecommenderIRStatsEvaluatorCustom.java

License:Apache License

private static double computeThreshold(PreferenceArray prefs) {
    if (prefs.length() < 2) {
        // Not enough data points -- return a threshold that allows everything
        return Double.NEGATIVE_INFINITY;
    }// w w w  .  j  av a 2s  . c  o  m
    RunningAverageAndStdDev stdDev = new FullRunningAverageAndStdDev();
    int size = prefs.length();
    for (int i = 0; i < size; i++) {
        stdDev.addDatum(prefs.getValue(i));
    }
    return stdDev.getAverage() + stdDev.getStandardDeviation();
}

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From source file:recsys.evaluator.TopKRecommenderEvaluator.java

License:Apache License

private Double getEvaluation(FastByIDMap<PreferenceArray> testPrefs, Recommender recommender)
        throws TasteException {
    reset();/*from  w ww.  j  a  v a2 s.  c om*/
    Collection<Callable<Void>> estimateCallables = Lists.newArrayList();
    noEstimateCounter = new AtomicInteger();
    estimateCounter = new AtomicInteger();
    for (Map.Entry<Integer, PreferenceArray> entry : testPrefs.entrySet()) {
        estimateCallables.add(new PreferenceEstimateCallable(recommender, entry.getKey(), entry.getValue(),
                noEstimateCounter, estimateCounter));
    }
    log.info("Beginning evaluation of {} users", estimateCallables.size());
    RunningAverageAndStdDev timing = new FullRunningAverageAndStdDev();
    execute(estimateCallables, noEstimateCounter, estimateCounter, timing);
    return computeFinalEvaluation();
}

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