public class LogNormalSampler extends Object implements SharedStateContinuousSampler
| Constructor and Description |
|---|
LogNormalSampler(NormalizedGaussianSampler gaussian,
double mu,
double sigma) |
| Modifier and Type | Method and Description |
|---|---|
static SharedStateContinuousSampler |
of(NormalizedGaussianSampler gaussian,
double mu,
double sigma)
Create a new log-normal distribution sampler.
|
double |
sample()
Creates a
double sample. |
String |
toString() |
SharedStateContinuousSampler |
withUniformRandomProvider(UniformRandomProvider rng)
Create a new instance of the sampler with the same underlying state using the given
uniform random provider as the source of randomness.
|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitsamples, samplespublic LogNormalSampler(NormalizedGaussianSampler gaussian, double mu, double sigma)
gaussian - N(0,1) generator.mu - Mean of the natural logarithm of the distribution values.sigma - Standard deviation of the natural logarithm of the distribution values.IllegalArgumentException - if sigma <= 0.public double sample()
double sample.sample in interface ContinuousSamplerpublic SharedStateContinuousSampler withUniformRandomProvider(UniformRandomProvider rng)
Note: This function is available if the underlying NormalizedGaussianSampler
is a SharedStateSampler.
Otherwise a run-time exception is thrown.
withUniformRandomProvider in interface SharedStateSampler<SharedStateContinuousSampler>rng - Generator of uniformly distributed random numbers.UnsupportedOperationException - if the underlying sampler is not a
SharedStateSampler or
does not return a NormalizedGaussianSampler when sharing state.public static SharedStateContinuousSampler of(NormalizedGaussianSampler gaussian, double mu, double sigma)
Note: The shared-state functionality is available if the NormalizedGaussianSampler
is a SharedStateSampler.
Otherwise a run-time exception will be thrown when the sampler is used to share state.
gaussian - N(0,1) generator.mu - Mean of the natural logarithm of the distribution values.sigma - Standard deviation of the natural logarithm of the distribution values.IllegalArgumentException - if sigma <= 0.withUniformRandomProvider(UniformRandomProvider)Copyright © 2016–2022 The Apache Software Foundation. All rights reserved.