Github user mtustin-handy commented on a diff in the pull request: https://github.com/apache/spark/pull/12016#discussion_r57733543 --- Diff: core/src/main/scala/org/apache/spark/partial/SumEvaluator.scala --- @@ -40,30 +41,39 @@ private[spark] class SumEvaluator(totalOutputs: Int, confidence: Double) override def currentResult(): BoundedDouble = { if (outputsMerged == totalOutputs) { new BoundedDouble(counter.sum, 1.0, counter.sum, counter.sum) - } else if (outputsMerged == 0) { + } else if (outputsMerged == 0 || counter.count == 0) { new BoundedDouble(0, 0.0, Double.NegativeInfinity, Double.PositiveInfinity) } else { val p = outputsMerged.toDouble / totalOutputs val meanEstimate = counter.mean - val meanVar = counter.sampleVariance / counter.count val countEstimate = (counter.count + 1 - p) / p - val countVar = (counter.count + 1) * (1 - p) / (p * p) val sumEstimate = meanEstimate * countEstimate - val sumVar = (meanEstimate * meanEstimate * countVar) + - (countEstimate * countEstimate * meanVar) + - (meanVar * countVar) - val sumStdev = math.sqrt(sumVar) - val confFactor = { - if (counter.count > 100) { + + val meanVar = counter.sampleVariance / counter.count + + // branch at this point because counter.count == 1 implies counter.sampleVariance == Nan + // and we don't want to ever return a bound of NaN + if (meanVar == Double.NaN || counter.count == 1) { + new BoundedDouble(sumEstimate, confidence, Double.NegativeInfinity, Double.PositiveInfinity) + } else { + val countVar = (counter.count + 1) * (1 - p) / (p * p) + val sumVar = (meanEstimate * meanEstimate * countVar) + + (countEstimate * countEstimate * meanVar) + + (meanVar * countVar) + val sumStdev = math.sqrt(sumVar) + val confFactor = if (counter.count > 100) { new NormalDistribution().inverseCumulativeProbability(1 - (1 - confidence) / 2) - } else { + } else if (counter.count > 1) { val degreesOfFreedom = (counter.count - 1).toInt new TDistribution(degreesOfFreedom).inverseCumulativeProbability(1 - (1 - confidence) / 2) + } else { + throw new Exception("Counter.count <= 1; this should be impossible at this point") --- End diff -- I understand that the check does nothing for the computer but it makes it easier to read. It's slightly better than a comment because it won't lie around being incorrect and stale. Nevertheless I can fix it up to your preference together the tests. On Tuesday, March 29, 2016, Sean Owen <notificati...@github.com> wrote: > In core/src/main/scala/org/apache/spark/partial/SumEvaluator.scala > <https://github.com/apache/spark/pull/12016#discussion_r57732511>: > > > val degreesOfFreedom = (counter.count - 1).toInt > > new TDistribution(degreesOfFreedom).inverseCumulativeProbability(1 - (1 - confidence) / 2) > > + } else { > > + throw new Exception("Counter.count <= 1; this should be impossible at this point") > > You've already handled the count=0 and count=1 cases earlier. Checking > count > 1 doesn't do anything since it can't happen so having a branch for > it is odd. Tests are how we catch regressions. > > â > You are receiving this because you authored the thread. > Reply to this email directly or view it on GitHub > <https://github.com/apache/spark/pull/12016/files/3faecc4f18094686c843060a1e53b81b9e04e75d#r57732511> > -- Want to work at Handy? Check out our culture deck and open roles <http://www.handy.com/careers> Latest news <http://www.handy.com/press> at Handy Handy just raised $50m <http://venturebeat.com/2015/11/02/on-demand-home-service-handy-raises-50m-in-round-led-by-fidelity/> led by Fidelity
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