blang.distributions

Class GammaMeanParam

java.lang.Object

blang.distributions.GammaMeanParam

All Implemented Interfaces:

blang.core.ForwardSimulator, blang.core.Model, blang.core.ModelComponent, blang.core.UnivariateModel<blang.core.RealVar>

public class GammaMeanParam
extends java.lang.Object
implements blang.core.Model, blang.core.UnivariateModel<blang.core.RealVar>, blang.core.ForwardSimulator

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	GammaMeanParam.$generated__1_class
static class	GammaMeanParam.$generated__2_class
static class	GammaMeanParam.Builder

Constructor Summary

Constructors

Constructor and Description

GammaMeanParam(blang.core.RealVar realization, java.util.function.Supplier<blang.core.RealVar> $generated__mean, java.util.function.Supplier<blang.core.RealVar> $generated__variance) Note: the generated code has the following properties used at runtime: - all arguments are annotated with a BlangVariable annotation - params additionally have a Param annotation - the order of the arguments is as follows: - first, all the random variables in the order they occur in the blang file - second, all the params in the order they occur in the blang file

Method Summary

Modifier and Type	Method and Description
static GammaMeanParam.Builder	builderFromCommandLine()
java.util.Collection<blang.core.ModelComponent>	components() A component can be either a distribution, support constraint, or another model which recursively defines additional components.
static blang.core.RealDistribution	distribution(blang.core.RealVar mean, blang.core.RealVar variance) Returns an instance with fixed parameters values and conforming the Distribution interface.
void	generate(java.util.Random rand)
blang.core.RealVar	getMean()
blang.core.RealVar	getRealization()
blang.core.RealVar	getVariance()
static void	main(java.lang.String[] arguments) Utility main method for posterior inference on this model
blang.core.RealVar	realization()

Methods inherited from class java.lang.Object

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

Constructor Detail

GammaMeanParam

public GammaMeanParam(blang.core.RealVar realization,
                      java.util.function.Supplier<blang.core.RealVar> $generated__mean,
                      java.util.function.Supplier<blang.core.RealVar> $generated__variance)

Note: the generated code has the following properties used at runtime: - all arguments are annotated with a BlangVariable annotation - params additionally have a Param annotation - the order of the arguments is as follows: - first, all the random variables in the order they occur in the blang file - second, all the params in the order they occur in the blang file

Method Detail

builderFromCommandLine

public static GammaMeanParam.Builder builderFromCommandLine()

getRealization

public blang.core.RealVar getRealization()

getMean

public blang.core.RealVar getMean()

getVariance

public blang.core.RealVar getVariance()

main

public static void main(java.lang.String[] arguments)

Utility main method for posterior inference on this model

components

public java.util.Collection<blang.core.ModelComponent> components()

A component can be either a distribution, support constraint, or another model which recursively defines additional components.

Specified by:

components in interface blang.core.Model

generate

public void generate(java.util.Random rand)

Specified by:

generate in interface blang.core.ForwardSimulator

realization

public blang.core.RealVar realization()

Specified by:

realization in interface blang.core.UnivariateModel<blang.core.RealVar>

distribution

public static blang.core.RealDistribution distribution(blang.core.RealVar mean,
                                                       blang.core.RealVar variance)

Returns an instance with fixed parameters values and conforming the Distribution interface. Useful when passing around distributions as parameters, e.g. for Dirichlet Process mixtures.