本文整理了Java中cc.mallet.types.InstanceList.shuffle()方法的一些代码示例，展示了InstanceList.shuffle()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。InstanceList.shuffle()方法的具体详情如下：
包路径：cc.mallet.types.InstanceList
类名称：InstanceList
方法名：shuffle

InstanceList.shuffle介绍

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代码示例

代码示例来源：origin: de.julielab/jcore-mallet-2.0.9

/**
 * Shuffles the elements of this list among several smaller lists.
 * @param proportions A list of numbers (not necessarily summing to 1) which,
 * when normalized, correspond to the proportion of elements in each returned
 * sublist.  This method (and all the split methods) do not transfer the Instance
 * weights to the resulting InstanceLists.
 * @param r The source of randomness to use in shuffling.
 * @return one <code>InstanceList</code> for each element of <code>proportions</code>
 */
public InstanceList[] split (java.util.Random r, double[] proportions) {
  InstanceList shuffled = this.shallowClone();
  shuffled.shuffle (r);
  return shuffled.splitInOrder(proportions);
}

代码示例来源：origin: cc.mallet/mallet

public InstanceList subList (double proportion)
{
  if (proportion > 1.0)
    throw new IllegalArgumentException ("proportion must by <= 1.0");
  InstanceList other = (InstanceList) clone();
  other.shuffle(new java.util.Random());
  proportion *= other.size();
  for (int i = 0; i < proportion; i++)
    other.add (get(i));
  return other;
}

代码示例来源：origin: com.github.steveash.mallet/mallet

public InstanceList subList (double proportion)
{
  if (proportion > 1.0)
    throw new IllegalArgumentException ("proportion must by <= 1.0");
  InstanceList other = (InstanceList) clone();
  other.shuffle(new java.util.Random());
  proportion *= other.size();
  for (int i = 0; i < proportion; i++)
    other.add (get(i));
  return other;
}

代码示例来源：origin: cc.mallet/mallet

/**
 * Shuffles the elements of this list among several smaller lists.
 * @param proportions A list of numbers (not necessarily summing to 1) which,
 * when normalized, correspond to the proportion of elements in each returned
 * sublist.  This method (and all the split methods) do not transfer the Instance
 * weights to the resulting InstanceLists.
 * @param r The source of randomness to use in shuffling.
 * @return one <code>InstanceList</code> for each element of <code>proportions</code>
 */
public InstanceList[] split (java.util.Random r, double[] proportions) {
  InstanceList shuffled = this.shallowClone();
  shuffled.shuffle (r);
  return shuffled.splitInOrder(proportions);
}

代码示例来源：origin: com.github.steveash.mallet/mallet

/**
 * Shuffles the elements of this list among several smaller lists.
 * @param proportions A list of numbers (not necessarily summing to 1) which,
 * when normalized, correspond to the proportion of elements in each returned
 * sublist.  This method (and all the split methods) do not transfer the Instance
 * weights to the resulting InstanceLists.
 * @param r The source of randomness to use in shuffling.
 * @return one <code>InstanceList</code> for each element of <code>proportions</code>
 */
public InstanceList[] split (java.util.Random r, double[] proportions) {
  InstanceList shuffled = this.shallowClone();
  shuffled.shuffle (r);
  return shuffled.splitInOrder(proportions);
}

代码示例来源：origin: de.julielab/jcore-mallet-2.0.9

public InstanceList subList (double proportion)
{
  if (proportion > 1.0)
    throw new IllegalArgumentException ("proportion must by <= 1.0");
  InstanceList other = (InstanceList) clone();
  other.shuffle(new java.util.Random());
  proportion *= other.size();
  for (int i = 0; i < proportion; i++)
    other.add (get(i));
  return other;
}

代码示例来源：origin: cc.mallet/mallet

trainingInstances.shuffle(random);
Clustering trainingClustering = createSmallerClustering(trainingInstances);
testingInstances.shuffle(random);
Clustering testingClustering = createSmallerClustering(testingInstances);
logger.info(outputPrefixFile.value + ".train : " + trainingClustering.getNumClusters() + " objects");

代码示例来源：origin: de.julielab/jcore-mallet-2.0.9

trainingInstances.shuffle(random);
Clustering trainingClustering = createSmallerClustering(trainingInstances);
testingInstances.shuffle(random);
Clustering testingClustering = createSmallerClustering(testingInstances);
logger.info(outputPrefixFile.value + ".train : " + trainingClustering.getNumClusters() + " objects");

代码示例来源：origin: com.github.steveash.mallet/mallet

trainingInstances.shuffle(random);
Clustering trainingClustering = createSmallerClustering(trainingInstances);
testingInstances.shuffle(random);
Clustering testingClustering = createSmallerClustering(testingInstances);
logger.info(outputPrefixFile.value + ".train : " + trainingClustering.getNumClusters() + " objects");