Class DiagonalGaussianModel

java.lang.Object

com.knezevic.edaf.v3.models.continuous.DiagonalGaussianModel

All Implemented Interfaces:

Model<RealVector>

public final class DiagonalGaussianModel
extends Object
implements Model<RealVector>

Diagonal Gaussian model for continuous EDAs (Σ = diag(σ^2)).

The model estimates:

   μ_d = mean(x_d),  σ_d = std(x_d)
 

from selected individuals and samples independently per dimension:

   x_d ~ N(μ_d, σ_d^2)
 

with a configurable lower bound on σ_d to avoid collapse.

Constructor Summary

Constructors

Constructor	Description
DiagonalGaussianModel(double minSigma)

Method Summary

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

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

DiagonalGaussianModel

public DiagonalGaussianModel(double minSigma)

Parameters:

minSigma - lower floor for per-dimension standard deviation

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<RealVector>

fit

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

Description copied from interface: Model

Fits model parameters from selected individuals.

Specified by:

fit in interface Model<RealVector>

sample

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

Description copied from interface: Model

Samples new genotypes from model.

Specified by:

sample in interface Model<RealVector>

diagnostics

public ModelDiagnostics diagnostics()

Description copied from interface: Model

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

Specified by:

diagnostics in interface Model<RealVector>

mean

public double[] mean()

sigma

public double[] sigma()

restore

public void restore(double[] mean,
 double[] sigma)

Restores diagonal Gaussian state from checkpoint payload.