Github user mengxr commented on a diff in the pull request: https://github.com/apache/spark/pull/2928#discussion_r19368695 --- Diff: core/src/main/scala/org/apache/spark/util/random/RandomSampler.scala --- @@ -87,15 +87,19 @@ class BernoulliSampler[T](lb: Double, ub: Double, complement: Boolean = false) @DeveloperApi class PoissonSampler[T](mean: Double) extends RandomSampler[T, T] { - private[random] var rng = new Poisson(mean, new DRand) + private[random] var rng = new PoissonDistribution(mean) override def setSeed(seed: Long) { - rng = new Poisson(mean, new DRand(seed.toInt)) + rng = new PoissonDistribution( + new Well19937c(seed), --- End diff -- Well19937c is the default. We can construct PoissonDistribution with just `mean` and then call `reseedRandomGenerator`: http://commons.apache.org/proper/commons-math/apidocs/org/apache/commons/math3/distribution/AbstractRealDistribution.html#reseedRandomGenerator(long)
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