org.apache.mahout.math.jet.random.Normal.randomDouble()方法的使用及代码示例

x33g5p2x  于2022-01-25 转载在 其他  
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本文整理了Java中org.apache.mahout.math.jet.random.Normal.randomDouble()方法的一些代码示例,展示了Normal.randomDouble()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台,是从一些精选项目中提取出来的代码,具有较强的参考意义,能在一定程度帮忙到你。Normal.randomDouble()方法的具体详情如下:
包路径:org.apache.mahout.math.jet.random.Normal
类名称:Normal
方法名:randomDouble

Normal.randomDouble介绍

暂无

代码示例

代码示例来源:origin: apache/mahout

/**
 * Returns a random number from the distribution.
 */
@Override
public double nextDouble() {
 // Uses polar Box-Muller transformation.
 if (cacheFilled) {
  cacheFilled = false;
  return cache;
 }
 double x;
 double y;
 double r;
 do {
  x = 2.0 * randomDouble() - 1.0;
  y = 2.0 * randomDouble() - 1.0;
  r = x * x + y * y;
 } while (r >= 1.0);
 double z = Math.sqrt(-2.0 * Math.log(r) / r);
 cache = this.mean + this.standardDeviation * x * z;
 cacheFilled = true;
 return this.mean + this.standardDeviation * y * z;
}

代码示例来源:origin: org.apache.mahout/mahout-math

/**
 * Returns a random number from the distribution.
 */
@Override
public double nextDouble() {
 // Uses polar Box-Muller transformation.
 if (cacheFilled) {
  cacheFilled = false;
  return cache;
 }
 double x;
 double y;
 double r;
 do {
  x = 2.0 * randomDouble() - 1.0;
  y = 2.0 * randomDouble() - 1.0;
  r = x * x + y * y;
 } while (r >= 1.0);
 double z = Math.sqrt(-2.0 * Math.log(r) / r);
 cache = this.mean + this.standardDeviation * x * z;
 cacheFilled = true;
 return this.mean + this.standardDeviation * y * z;
}

代码示例来源:origin: cloudera/mahout

/**
 * Returns a random number from the distribution.
 */
@Override
public double nextDouble() {
 // Uses polar Box-Muller transformation.
 if (cacheFilled) {
  cacheFilled = false;
  return cache;
 }
 double x;
 double y;
 double r;
 do {
  x = 2.0 * randomDouble() - 1.0;
  y = 2.0 * randomDouble() - 1.0;
  r = x * x + y * y;
 } while (r >= 1.0);
 double z = Math.sqrt(-2.0 * Math.log(r) / r);
 cache = this.mean + this.standardDeviation * x * z;
 cacheFilled = true;
 return this.mean + this.standardDeviation * y * z;
}

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