io.improbable.keanu

Class Keanu.Optimizer.NonGradient

java.lang.Object

io.improbable.keanu.Keanu.Optimizer.NonGradient

Enclosing class:

Keanu.Optimizer

public class Keanu.Optimizer.NonGradient
extends java.lang.Object

Constructor Summary

Constructors

Constructor and Description
NonGradient()

Method Summary

Modifier and Type	Method and Description
NonGradientOptimizer.NonGradientOptimizerBuilder	builderFor(BayesianNetwork network)
NonGradientOptimizer.NonGradientOptimizerBuilder	builderFor(java.util.Collection<? extends Vertex> vertices)
NonGradientOptimizer	of(BayesianNetwork bayesNet) Creates a BOBYQA NonGradientOptimizer which provides methods for optimizing the values of latent variables of the Bayesian network to maximise probability.
NonGradientOptimizer	of(java.util.Collection<? extends Vertex> vertices) Creates a Bayesian network from the given vertices and uses this to create a BOBYQA NonGradientOptimizer.
NonGradientOptimizer	ofConnectedGraph(Vertex<?> vertexFromNetwork) Creates a Bayesian network from the graph connected to the given vertex and uses this to create a BOBYQA NonGradientOptimizer.

Methods inherited from class java.lang.Object

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

Constructor Detail

NonGradient

public NonGradient()

Method Detail

of

public NonGradientOptimizer of(BayesianNetwork bayesNet)

Creates a BOBYQA NonGradientOptimizer which provides methods for optimizing the values of latent variables of the Bayesian network to maximise probability.

Parameters:

bayesNet - The Bayesian network to run optimization on.

Returns:

a NonGradientOptimizer

of

public NonGradientOptimizer of(java.util.Collection<? extends Vertex> vertices)

Creates a Bayesian network from the given vertices and uses this to create a BOBYQA NonGradientOptimizer. This provides methods for optimizing the values of latent variables of the Bayesian network to maximise probability.

Parameters:

vertices - The vertices to create a Bayesian network from.

Returns:

a NonGradientOptimizer

ofConnectedGraph

public NonGradientOptimizer ofConnectedGraph(Vertex<?> vertexFromNetwork)

Creates a Bayesian network from the graph connected to the given vertex and uses this to create a BOBYQA NonGradientOptimizer. This provides methods for optimizing the values of latent variables of the Bayesian network to maximise probability.

Parameters:

vertexFromNetwork - A vertex in the graph to create the Bayesian network from

Returns:

a NonGradientOptimizer

builderFor

public NonGradientOptimizer.NonGradientOptimizerBuilder builderFor(java.util.Collection<? extends Vertex> vertices)

builderFor

public NonGradientOptimizer.NonGradientOptimizerBuilder builderFor(BayesianNetwork network)