Scala BinomialDistribution类代码示例

OStack程序员社区-中国程序员成长平台 › 门户 › 编程› Scala›Scala教程

原作者: [db:作者] 来自: [db:来源] 收藏邀请

本文整理汇总了Scala中org.apache.commons.math3.distribution.BinomialDistribution类的典型用法代码示例。如果您正苦于以下问题：Scala BinomialDistribution类的具体用法？Scala BinomialDistribution怎么用？Scala BinomialDistribution使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。

在下文中一共展示了BinomialDistribution类的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的Scala代码示例。

示例1: Distributions

//设置package包名称以及导入依赖的类
package de.twiechert.benchmarks.linearroad.datagen.flink

import org.apache.commons.math3.distribution.{ZipfDistribution, BinomialDistribution, UniformIntegerDistribution}

object Distributions {

  trait DiscreteDistribution {
    def sample(cumulativeProbability: Double) : Int
  }

  case class DiscreteUniform(k: Int) extends DiscreteDistribution {
    val distribution = new UniformIntegerDistribution(0, k - 1)
    def sample(cp: Double) = distribution.inverseCumulativeProbability(cp)
  }

  case class Binomial(sampleSize: Int, successProbability: Double) extends DiscreteDistribution {
    val distribution = new BinomialDistribution(sampleSize - 1, successProbability)
    def sample(cp: Double) = distribution.inverseCumulativeProbability(cp) - 1
  }

  case class Zipf(sampleSize: Int, exponent: Double) extends DiscreteDistribution {
    val distribution = new ZipfDistribution(sampleSize, exponent)
    def sample(cp: Double) = distribution.inverseCumulativeProbability(cp) - 1
  }
}

开发者ID:twiechert，项目名称:kafka-linearroad-peelbundle，代码行数:26，代码来源:Distributions.scala

示例2: Distributions

//设置package包名称以及导入依赖的类
package de.tu_berlin.dima.bdapro.datagen.flink

import org.apache.commons.math3.distribution.{ZipfDistribution, BinomialDistribution, UniformIntegerDistribution}

object Distributions {

  trait DiscreteDistribution {
    def sample(cumulativeProbability: Double) : Int
  }

  case class DiscreteUniform(k: Int) extends DiscreteDistribution {
    val distribution = new UniformIntegerDistribution(0, k - 1)
    def sample(cp: Double) = distribution.inverseCumulativeProbability(cp)
  }

  case class Binomial(sampleSize: Int, successProbability: Double) extends DiscreteDistribution {
    val distribution = new BinomialDistribution(sampleSize - 1, successProbability)
    def sample(cp: Double) = distribution.inverseCumulativeProbability(cp) - 1
  }

  case class Zipf(sampleSize: Int, exponent: Double) extends DiscreteDistribution {
    val distribution = new ZipfDistribution(sampleSize, exponent)
    def sample(cp: Double) = distribution.inverseCumulativeProbability(cp) - 1
  }
}

开发者ID:cristiprg，项目名称:BDAPRO.GlobalStateML，代码行数:26，代码来源:Distributions.scala

注：本文中的org.apache.commons.math3.distribution.BinomialDistribution类示例整理自Github/MSDocs等源码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。