Examples of WeightedRandomSampler

cern.jet.random.sampling.WeightedRandomSampler

Conveniently computes a stable subsequence of elements from a given input sequence; Picks (samples) exactly one random element from successive blocks of weight input elements each. For example, if weight==2 (a block is 2 elements), and the input is 5*2=10 elements long, then picks 5 random elements from the 10 elements such that one element is randomly picked from the first block, one element from the second block, ..., one element from the last block. weight== 1.0 --> all elements are picked (sampled). weight== 10.0 --> Picks one random element from successive blocks of 10 elements each. Etc. The subsequence is guaranteed to be stable, i.e. elements never change position relative to each other. @author wolfgang.hoschek@cern.ch @version 1.0, 02/05/99

org.apache.mahout.math.jet.random.sampling.WeightedRandomSampler

@deprecated until unit tests are in place. Until this time, this class/interface is unsupported.

 * @param h the tree height at which sampling shall start.
 * @param precomputeEpsilon the epsilon for which quantiles shall be precomputed; set this value <=0.0 if nothing shall be precomputed.
 * @param generator a uniform random number generator.
 */
public UnknownDoubleQuantileEstimator(int b, int k, int h, double precomputeEpsilon, RandomEngine generator) {
  this.sampler = new WeightedRandomSampler(1,generator);
  setUp(b,k);
  this.treeHeightStartingSampling = h;
  this.precomputeEpsilon = precomputeEpsilon;
  this.clear();
}

 * @param h the tree height at which sampling shall start.
 * @param precomputeEpsilon the epsilon for which quantiles shall be precomputed; set this value <=0.0 if nothing shall be precomputed.
 * @param generator a uniform random number generator.
 */
public UnknownDoubleQuantileEstimator(int b, int k, int h, double precomputeEpsilon, RandomEngine generator) {
  this.sampler = new WeightedRandomSampler(1,generator);
  setUp(b,k);
  this.treeHeightStartingSampling = h;
  this.precomputeEpsilon = precomputeEpsilon;
  this.clear();
}

   * @param precomputeEpsilon the epsilon for which quantiles shall be precomputed; set this value <=0.0 if nothing
   *                          shall be precomputed.
   * @param generator         a uniform random number generator.
   */
  UnknownDoubleQuantileEstimator(int b, int k, int h, double precomputeEpsilon, RandomEngine generator) {
    this.sampler = new WeightedRandomSampler(1, generator);
    setUp(b, k);
    this.treeHeightStartingSampling = h;
    this.precomputeEpsilon = precomputeEpsilon;
    this.clear();
  }

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Examples of WeightedRandomSampler

Examples of cern.jet.random.sampling.WeightedRandomSampler

Examples of cern.jet.random.sampling.WeightedRandomSampler

Examples of org.apache.mahout.math.jet.random.sampling.WeightedRandomSampler