Class HierarchicalBoaModel

java.lang.Object

com.knezevic.edaf.v3.models.discrete.HierarchicalBoaModel

All Implemented Interfaces:

Model<BitString>

public final class HierarchicalBoaModel
extends Object
implements Model<BitString>

Hierarchical BOA-style sparse Bayesian-network model for bitstrings.

Structure learning uses pairwise mutual information and variable-entropy ordering. Each variable can have at most one parent, yielding a tractable conditional model:

   p(x) = product_i p(x_i | x_parent(i))
 

where root variables use marginals p(x_i).

Constructor Summary

Constructors

Constructor	Description
HierarchicalBoaModel(double smoothing, double minMutualInformation, double learningRate)

Method Summary

Modifier and Type	Method	Description
double[][]	conditionalOne()
ModelDiagnostics	diagnostics()	Exposes diagnostics (entropy, covariance condition number, etc.).
void	fit(List<Individual<BitString>> selected, Representation<BitString> representation, RngStream rng)	Fits model parameters from selected individuals.
double[]	marginalOne()
String	name()	Model identifier used in configuration and listing commands.
int[]	order()
int[]	parent()
void	restore(int[] order, int[] parent, double[] marginalOne, double[][] conditionalOne)	Restores model state from checkpoint payload.
List<BitString>	sample(int count, Representation<BitString> representation, Problem<BitString> problem, ConstraintHandling<BitString> constraintHandling, RngStream rng)	Samples new genotypes from model.

Methods inherited from class java.lang.Object

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

Methods inherited from interface com.knezevic.edaf.v3.core.api.Model

update

Constructor Details

HierarchicalBoaModel

public HierarchicalBoaModel(double smoothing,
 double minMutualInformation,
 double learningRate)

Method Details

name

public String name()

Description copied from interface: Model

Model identifier used in configuration and listing commands.

Specified by:

name in interface Model<BitString>

fit

public void fit(List<Individual<BitString>> selected,
 Representation<BitString> representation,
 RngStream rng)

Description copied from interface: Model

Fits model parameters from selected individuals.

Specified by:

fit in interface Model<BitString>

sample

public List<BitString> sample(int count,
 Representation<BitString> representation,
 Problem<BitString> problem,
 ConstraintHandling<BitString> constraintHandling,
 RngStream rng)

Description copied from interface: Model

Samples new genotypes from model.

Specified by:

sample in interface Model<BitString>

diagnostics

public ModelDiagnostics diagnostics()

Description copied from interface: Model

Exposes diagnostics (entropy, covariance condition number, etc.).

Specified by:

diagnostics in interface Model<BitString>

order

public int[] order()

parent

public int[] parent()

marginalOne

public double[] marginalOne()

conditionalOne

public double[][] conditionalOne()

restore

public void restore(int[] order,
 int[] parent,
 double[] marginalOne,
 double[][] conditionalOne)

Restores model state from checkpoint payload.