public double mean(int bucketsBack) { return RunningStdDev.mean(buckets[bucketMask&(bucketCount+activeIdx-bucketsBack)]); }
public double mean(int bucketsBack) { return RunningStdDev.mean(buckets[bucketMask&(bucketCount+activeIdx-bucketsBack)]); }
public double mean(int bucketsBack) { return RunningStdDev.mean(buckets[bucketMask&(bucketCount+activeIdx-bucketsBack)]); }
public static <A extends Appendable>A appendTo(RunningStdDev runStdDev, A target) throws IOException { Appendables.appendValue(target.append("count:"), sampleCount(runStdDev)); target.append(" mean:").append(Float.toString((float)mean(runStdDev))); //TODO: someday Appendables should also support garbage free float to text target.append(" std:").append(Float.toString((float)stdDeviation(runStdDev))); target.append(" max:").append(Float.toString((float)maxSample(runStdDev))); target.append(" min:").append(Float.toString((float)minSample(runStdDev))); return target; }
public static double probabilityDensity(RunningStdDev runStdDev, double x) { //inputs double variance = variance(runStdDev); double stdDev = Math.sqrt(variance); double mean = mean(runStdDev); return probabilityDensityY(x, variance, stdDev, mean); }
public static <A extends Appendable>A appendTo(RunningStdDev runStdDev, A target) throws IOException { Appendables.appendValue(target.append("count:"), sampleCount(runStdDev)); target.append(" mean:").append(Float.toString((float)mean(runStdDev))); //TODO: someday Appendables should also support garbage free float to text target.append(" std:").append(Float.toString((float)stdDeviation(runStdDev))); target.append(" max:").append(Float.toString((float)maxSample(runStdDev))); target.append(" min:").append(Float.toString((float)minSample(runStdDev))); return target; }
public static <A extends Appendable>A appendTo(RunningStdDev runStdDev, A target) throws IOException { Appendables.appendValue(target.append("count:"), sampleCount(runStdDev)); target.append(" mean:").append(Float.toString((float)mean(runStdDev))); //TODO: someday Appendables should also support garbage free float to text target.append(" std:").append(Float.toString((float)stdDeviation(runStdDev))); target.append(" max:").append(Float.toString((float)maxSample(runStdDev))); target.append(" min:").append(Float.toString((float)minSample(runStdDev))); return target; }
public static double probabilityDensity(RunningStdDev runStdDev, double x) { //inputs double variance = variance(runStdDev); double stdDev = Math.sqrt(variance); double mean = mean(runStdDev); return probabilityDensityY(x, variance, stdDev, mean); }
public static double probabilityDensity(RunningStdDev runStdDev, double x) { //inputs double variance = variance(runStdDev); double stdDev = Math.sqrt(variance); double mean = mean(runStdDev); return probabilityDensityY(x, variance, stdDev, mean); }
public ClientConnection leadingCandidate() { if (null!=candidate && (RunningStdDev.sampleCount(stdDev)>1)) { long limit = (long)((stdDevsToAbandon*RunningStdDev.stdDeviation(stdDev))+RunningStdDev.mean(stdDev)); // boolean debug = false; // if (debug) { // Appendables.appendNearestTimeUnit(System.out.append("Candidate: "), maxOutstandingCallTime).append("\n"); // Appendables.appendNearestTimeUnit(System.out.append("StdDev Limit: "), limit).append("\n"); // Appendables.appendNearestTimeUnit(System.out.append("StdDev: "), (long)RunningStdDev.stdDeviation(stdDev) ).append("\n"); // } if (maxOutstandingCallTime > absoluteNSToKeep) { //must be greater than the keep value or it is not a candidate. if (maxOutstandingCallTime > Math.min(limit, absoluteNSToAbandon)) { //logger.info("\n{} waiting connection to {} has been assumed abandoned and is the leading candidate to be closed.",Appendables.appendNearestTimeUnit(new StringBuilder(), maxOutstandingCallTime),candidate); //this is the worst offender at this time return candidate; } } } return null; }
double mean = RunningStdDev.mean(stdDev); double limit = mean+(stdDevLimit*dev);
int thresholdToNeverCombine = (int) (RunningStdDev.mean(pipesPerStage)+ (2*RunningStdDev.stdDeviation(pipesPerStage))); if ((GraphManager.getInputPipeCount(graphManager,consumerId) +GraphManager.getOutputPipeCount(graphManager, consumerId)) > thresholdToNeverCombine) {
double mean = RunningStdDev.mean(writtenFragsStdDev); double stdDev = RunningStdDev.stdDeviation(writtenFragsStdDev); double max = RunningStdDev.maxSample(writtenFragsStdDev);