DefaultSampler

All Implemented Interfaces:: Sampler

public class DefaultSampler
extends Object
implements Sampler

Method Summary

Modifier and Type	Method	Description
`DRes<SInt>`	`sampleBernoulliDistribution(double p)`	Draw a sample from a Bernoulli distribution with parameter p with 0 ≤ p ≤ 1.
`DRes<SInt>`	`sampleBernoulliDistribution(DRes<SFixed> p)`	Draw a sample from a Bernoulli distribution with parameter p with 0 ≤ p ≤ 1.
`DRes<SInt>`	`sampleCategoricalDistribution(double[] probabilities)`	Draw a sample from the set {0, ..., probabilities.length - 1} with probabilities[i] indicating the probability of drawing i.
`DRes<SInt>`	`sampleCategoricalDistribution(List<DRes<SFixed>> probabilities)`	Draw a sample from the set {0, ..., probabilities.size() - 1} with probabilities.get(i) indicating the probability of drawing i.
`DRes<SInt>`	`sampleCategoricalDistribution(List<DRes<SFixed>> probabilities, boolean normalized)`	Draw a sample from the set {0, ..., probabilities.size() - 1} with probabilities.get(i) indicating the probability of drawing i.
`DRes<SFixed>`	`sampleExponentialDistribution(double b)`	Draw a sample from an exponential distribution with parameter λ = 1 / b with b gt; 0.
`DRes<SFixed>`	`sampleExponentialDistribution(DRes<SFixed> b)`	Draw a sample from an exponential distribution with parameter λ = 1 / b with b gt; 0.
`DRes<SFixed>`	`sampleLaplaceDistribution(double b)`	Draw a sample from a Laplace distribution with location 0 and scale b > 0.
`DRes<SFixed>`	`sampleLaplaceDistribution(DRes<SFixed> b)`	Draw a sample from a Laplace distribution with location 0 and scale b gt; 0.
`DRes<SFixed>`	`sampleNormalDistribution()`	Draw a sample from a normal distribution with mean 0 and variance 1.
`DRes<SInt>`	`sampleRademacherDistribution()`	Draw a sample from a Rademacher distribution.
`DRes<SFixed>`	`sampleUniformDistribution()`	Draw a sample form a uniform distribution on [0, 1).

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Details
- sampleBernoulliDistribution
  
  public DRes<SInt> sampleBernoulliDistribution(DRes<SFixed> p)
  
  Description copied from interface: Sampler
  
  Draw a sample from a Bernoulli distribution with parameter p with 0 ≤ p ≤ 1.
  
  Specified by:
  
  sampleBernoulliDistribution in interface Sampler
- sampleBernoulliDistribution
  
  public DRes<SInt> sampleBernoulliDistribution(double p)
  
  Description copied from interface: Sampler
  
  Draw a sample from a Bernoulli distribution with parameter p with 0 ≤ p ≤ 1.
  
  Specified by:
  
  sampleBernoulliDistribution in interface Sampler
- sampleCategoricalDistribution
  
  public DRes<SInt> sampleCategoricalDistribution(List<DRes<SFixed>> probabilities)
  
  Description copied from interface: Sampler
  
  Draw a sample from the set {0, ..., probabilities.size() - 1} with probabilities.get(i) indicating the probability of drawing i. Note that the sum of probabilities should be equal to 1.
  
  Specified by:
  
  sampleCategoricalDistribution in interface Sampler
- sampleCategoricalDistribution
  
  public DRes<SInt> sampleCategoricalDistribution(List<DRes<SFixed>> probabilities, boolean normalized)
  
  Description copied from interface: Sampler
  
  Draw a sample from the set {0, ..., probabilities.size() - 1} with probabilities.get(i) indicating the probability of drawing i. If it is not known whether the sum of the probabilities is equal to 1, the normalized parameter should be set to false.
  
  Specified by:
  
  sampleCategoricalDistribution in interface Sampler
- sampleCategoricalDistribution
  
  public DRes<SInt> sampleCategoricalDistribution(double[] probabilities)
  
  Description copied from interface: Sampler
  
  Draw a sample from the set {0, ..., probabilities.length - 1} with probabilities[i] indicating the probability of drawing i. Note that the sum of probabilities should be equal to 1.
  
  Specified by:
  
  sampleCategoricalDistribution in interface Sampler
- sampleExponentialDistribution
  
  public DRes<SFixed> sampleExponentialDistribution(DRes<SFixed> b)
  
  Description copied from interface: Sampler
  
  Draw a sample from an exponential distribution with parameter λ = 1 / b with b gt; 0.
  
  Specified by:
  
  sampleExponentialDistribution in interface Sampler
- sampleExponentialDistribution
  
  public DRes<SFixed> sampleExponentialDistribution(double b)
  
  Description copied from interface: Sampler
  
  Draw a sample from an exponential distribution with parameter λ = 1 / b with b gt; 0.
  
  Specified by:
  
  sampleExponentialDistribution in interface Sampler
- sampleLaplaceDistribution
  
  public DRes<SFixed> sampleLaplaceDistribution(double b)
  
  Description copied from interface: Sampler
  
  Draw a sample from a Laplace distribution with location 0 and scale b > 0.
  
  Specified by:
  
  sampleLaplaceDistribution in interface Sampler
- sampleLaplaceDistribution
  
  public DRes<SFixed> sampleLaplaceDistribution(DRes<SFixed> b)
  
  Description copied from interface: Sampler
  
  Draw a sample from a Laplace distribution with location 0 and scale b gt; 0.
  
  Specified by:
  
  sampleLaplaceDistribution in interface Sampler
- sampleNormalDistribution
  
  public DRes<SFixed> sampleNormalDistribution()
  
  Description copied from interface: Sampler
  
  Draw a sample from a normal distribution with mean 0 and variance 1.
  
  Specified by:
  
  sampleNormalDistribution in interface Sampler
- sampleRademacherDistribution
  
  public DRes<SInt> sampleRademacherDistribution()
  
  Description copied from interface: Sampler
  
  Draw a sample from a Rademacher distribution.
  
  Specified by:
  
  sampleRademacherDistribution in interface Sampler
- sampleUniformDistribution
  
  public DRes<SFixed> sampleUniformDistribution()
  
  Description copied from interface: Sampler
  
  Draw a sample form a uniform distribution on [0, 1).
  
  Specified by:
  
  sampleUniformDistribution in interface Sampler

Class DefaultSampler

Method Summary

Methods inherited from class Object

Method Details