Uses of Interface
de.jungblut.math.minimize.CostFunction

Packages that use CostFunction

Package	Description
de.jungblut.classification.nn
de.jungblut.classification.regression
de.jungblut.math
de.jungblut.math.minimize
de.jungblut.ner

Uses of CostFunction in de.jungblut.classification.nn

Classes in de.jungblut.classification.nn that implement CostFunction

Modifier and Type	Class	Description
class	MultilayerPerceptronCostFunction	Neural network costfunction for a multilayer perceptron.
class	RBMCostFunction	Restricted Boltzmann machine implementation using Contrastive Divergence 1 (CD1).

Uses of CostFunction in de.jungblut.classification.regression

Classes in de.jungblut.classification.regression that implement CostFunction

Modifier and Type	Class	Description
class	LogisticRegressionCostFunction

Uses of CostFunction in de.jungblut.math

Methods in de.jungblut.math with parameters of type CostFunction

Modifier and Type	Method	Description
static de.jungblut.math.DoubleVector	MathUtils.numericalGradient(de.jungblut.math.DoubleVector vector, CostFunction f)	Calculates the numerical gradient from a cost function using the central difference theorem.

Uses of CostFunction in de.jungblut.math.minimize

Classes in de.jungblut.math.minimize that implement CostFunction

Modifier and Type	Class	Description
class	AbstractMiniBatchCostFunction	Mini Batch cost function.
class	NegatedCostFunction	Negated cost function to implement maximization problems.

Methods in de.jungblut.math.minimize with parameters of type CostFunction

Modifier and Type	Method	Description
de.jungblut.math.DoubleVector	Fmincg.minimize(CostFunction f, de.jungblut.math.DoubleVector theta, int length, boolean verbose)
de.jungblut.math.DoubleVector	GradientDescent.minimize(CostFunction f, de.jungblut.math.DoubleVector pInput, int maxIterations, boolean verbose)
de.jungblut.math.DoubleVector	Minimizer.minimize(CostFunction f, de.jungblut.math.DoubleVector theta, int maxIterations, boolean verbose)	Minimizes the given costfunction with the starting parameter theta.
de.jungblut.math.DoubleVector	OWLQN.minimize(CostFunction f, de.jungblut.math.DoubleVector theta, int maxIterations, boolean verbose)
de.jungblut.math.DoubleVector	ParticleSwarmOptimization.minimize(CostFunction f, de.jungblut.math.DoubleVector pInput, int maxIterations, boolean verbose)
static de.jungblut.math.DoubleVector	Fmincg.minimizeFunction(CostFunction f, de.jungblut.math.DoubleVector theta, int maxIterations, boolean verbose)	Minimizes the given CostFunction with Nonlinear conjugate gradient method.
static de.jungblut.math.DoubleVector	GradientDescent.minimizeFunction(CostFunction f, de.jungblut.math.DoubleVector pInput, double alpha, double limit, int length, boolean verbose)	Minimize a given cost function f with the initial parameters pInput (also called theta) with a learning rate alpha and a fixed number of iterations.
static de.jungblut.math.DoubleVector	OWLQN.minimizeFunction(CostFunction f, de.jungblut.math.DoubleVector theta, int maxIterations, boolean verbose)	Minimizes the given cost function with L-BFGS.
static de.jungblut.math.DoubleVector	ParticleSwarmOptimization.minimizeFunction(CostFunction f, de.jungblut.math.DoubleVector pInput, int numParticles, double alpha, double beta, double phi, int maxIterations, int numThreads, boolean verbose)	Minimize a function using particle swarm optimization.

Constructors in de.jungblut.math.minimize with parameters of type CostFunction

Constructor	Description
NegatedCostFunction(CostFunction minableCostFunction)

Uses of CostFunction in de.jungblut.ner

Classes in de.jungblut.ner that implement CostFunction

Modifier and Type	Class	Description
class	ConditionalLikelihoodCostFunction	Conditional likelihood cost function, used in a maximum entropy markov model to optimize the weights.