Package jdistlib.inference

Class ModelBuilder

java.lang.Object

jdistlib.inference.ModelBuilder

public final class ModelBuilder
extends Object

Fluent builder for named constrained parameters and model factors.

Constructor Summary

Constructors

Constructor	Description
ModelBuilder()

Method Summary

Modifier and Type	Method	Description
BayesianModel	build()
ModelBuilder	data(String name, double... values)
ModelBuilder	factor(String name, String[] dependencies, ModelFactor factor)
ModelBuilder	likelihood(String name, String[] dependencies, ModelFactor factor)	Adds a scalar likelihood factor and exposes it for pointwise predictive assessment.
ModelBuilder	likelihood(String name, String group, String[] dependencies, ModelFactor factor)	Adds a scalar likelihood factor with an explicit observation group.
ModelBuilder	parameter(String name, ParameterConstraint constraint, double... initialConstrainedValue)
ModelBuilder	pointwiseLikelihood(ObservationMetadata metadata, PointwiseLogLikelihoodEvaluator evaluator)	Registers likelihood contributions already included in the model target.
ModelBuilder	prior(String parameter, GenericDistribution prior)	Adds an independent fixed scalar prior for a scalar parameter.

Methods inherited from class java.lang.Object

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

Constructor Details

ModelBuilder

public ModelBuilder()

Method Details

data

public ModelBuilder data(String name,
 double... values)

parameter

public ModelBuilder parameter(String name,
 ParameterConstraint constraint,
 double... initialConstrainedValue)

factor

public ModelBuilder factor(String name,
 String[] dependencies,
 ModelFactor factor)

likelihood

public ModelBuilder likelihood(String name,
 String[] dependencies,
 ModelFactor factor)

Adds a scalar likelihood factor and exposes it for pointwise predictive assessment.

likelihood

public ModelBuilder likelihood(String name,
 String group,
 String[] dependencies,
 ModelFactor factor)

Adds a scalar likelihood factor with an explicit observation group.

pointwiseLikelihood

public ModelBuilder pointwiseLikelihood(ObservationMetadata metadata,
 PointwiseLogLikelihoodEvaluator evaluator)

Registers likelihood contributions already included in the model target.

prior

public ModelBuilder prior(String parameter,
 GenericDistribution prior)

Adds an independent fixed scalar prior for a scalar parameter.

build

public BayesianModel build()