public class InverseTransformDiscreteSampler extends SamplerBase implements DiscreteSampler
Example:
import org.apache.commons.math3.distribution.IntegerDistribution;
import org.apache.commons.math3.distribution.BinomialDistribution;
import org.apache.commons.rng.simple.RandomSource;
import org.apache.commons.rng.sampling.distribution.DiscreteSampler;
import org.apache.commons.rng.sampling.distribution.InverseTransformDiscreteSampler;
import org.apache.commons.rng.sampling.distribution.DiscreteInverseCumulativeProbabilityFunction;
// Distribution to sample.
final IntegerDistribution dist = new BinomialDistribution(11, 0.56);
// Create the sampler.
final DiscreteSampler binomialSampler =
new InverseTransformDiscreteSampler(RandomSource.create(RandomSource.MT),
new DiscreteInverseCumulativeProbabilityFunction() {
public int inverseCumulativeProbability(double p) {
return dist.inverseCumulativeProbability(p);
}
});
// Generate random deviate.
int random = binomialSampler.sample();
| Constructor and Description |
|---|
InverseTransformDiscreteSampler(UniformRandomProvider rng,
DiscreteInverseCumulativeProbabilityFunction function) |
| Modifier and Type | Method and Description |
|---|---|
int |
sample()
Creates a sample.
|
String |
toString() |
nextDouble, nextInt, nextIntpublic InverseTransformDiscreteSampler(UniformRandomProvider rng, DiscreteInverseCumulativeProbabilityFunction function)
rng - Generator of uniformly distributed random numbers.function - Inverse cumulative probability function.public int sample()
sample in interface DiscreteSamplerpublic String toString()
toString in class SamplerBaseCopyright © 2016 The Apache Software Foundation. All rights reserved.