Uses of Interface
gov.sandia.cognition.math.DifferentiableEvaluator

Packages that use DifferentiableEvaluator

Package	Description
gov.sandia.cognition.learning.algorithm.minimization.line	Provides line (scalar) minimization algorithms.
gov.sandia.cognition.learning.algorithm.regression	Provides regression algorithms, such as Linear Regression.
gov.sandia.cognition.learning.function.scalar	Provides functions that output real numbers.
gov.sandia.cognition.learning.function.vector	Provides functions that output vectors.
gov.sandia.cognition.math	Provides classes for mathematical computation.
gov.sandia.cognition.math.matrix	Provides interfaces and classes for linear algebra.
gov.sandia.cognition.statistics	Provides the inheritance hierarchy for general statistical methods and distributions.
gov.sandia.cognition.statistics.bayesian	Provides algorithms for computing Bayesian estimates of parameters.
gov.sandia.cognition.statistics.distribution	Provides statistical distributions.
gov.sandia.cognition.statistics.method	Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods.

Uses of DifferentiableEvaluator in gov.sandia.cognition.learning.algorithm.minimization.line

Classes in gov.sandia.cognition.learning.algorithm.minimization.line that implement DifferentiableEvaluator

Modifier and Type	Class and Description
class	DirectionalVectorToDifferentiableScalarFunction Creates a truly differentiable scalar function from a differentiable Vector function, instead of using a forward-differences approximation to the derivative like DirectionalVectorToScalarFunction does.
class	DirectionalVectorToScalarFunction Maps a vector function onto a scalar one by using a directional vector and vector offset, and the parameter to the function is a scalar value along the direction from the start-point offset.
class	LineMinimizerDerivativeBased.InternalFunction Internal function used to map/remap/unmap the search direction.

Constructors in gov.sandia.cognition.learning.algorithm.minimization.line with parameters of type DifferentiableEvaluator

Constructor and Description
DirectionalVectorToDifferentiableScalarFunction(DifferentiableEvaluator<? super Vector,? extends java.lang.Double,Vector> vectorScalarFunction, Vector vectorOffset, Vector direction) Creates a new instance of DirectionalVectorToDifferentiableScalarFunction

Uses of DifferentiableEvaluator in gov.sandia.cognition.learning.algorithm.regression

Classes in gov.sandia.cognition.learning.algorithm.regression that implement DifferentiableEvaluator

Modifier and Type	Class and Description
static class	ParameterDerivativeFreeCostMinimizer.ParameterCostEvaluatorDerivativeFree Function that maps the parameters of an object to its inputs, so that minimization algorithms can tune the parameters of an object against a cost function.
static class	ParameterDifferentiableCostMinimizer.ParameterCostEvaluatorDerivativeBased Function that maps the parameters of an object to its inputs, so that minimization algorithms can tune the parameters of an object against a cost function.

Fields in gov.sandia.cognition.learning.algorithm.regression with type parameters of type DifferentiableEvaluator

Modifier and Type	Field and Description
static FunctionMinimizer<Vector,java.lang.Double,DifferentiableEvaluator<? super Vector,java.lang.Double,Vector>>	ParameterDifferentiableCostMinimizer.DEFAULT_FUNCTION_MINIMIZER Default function minimizer, FunctionMinimizerBFGS with LineMinimizerBacktracking

Constructor parameters in gov.sandia.cognition.learning.algorithm.regression with type arguments of type DifferentiableEvaluator

Constructor and Description
ParameterDerivativeFreeCostMinimizer(FunctionMinimizer<Vector,java.lang.Double,? super DifferentiableEvaluator<Vector,java.lang.Double,Vector>> minimizer) Creates a new instance of ParameterDerivativeFreeCostMinimizer
ParameterDifferentiableCostMinimizer(FunctionMinimizer<Vector,java.lang.Double,? super DifferentiableEvaluator<Vector,java.lang.Double,Vector>> minimizer) Creates a new instance of ParameterDerivativeFreeCostMinimizer

Uses of DifferentiableEvaluator in gov.sandia.cognition.learning.function.scalar

Subinterfaces of DifferentiableEvaluator in gov.sandia.cognition.learning.function.scalar

Modifier and Type	Interface and Description
static interface	PolynomialFunction.ClosedForm Describes functionality of a closed-form algebraic polynomial function

Classes in gov.sandia.cognition.learning.function.scalar that implement DifferentiableEvaluator

Modifier and Type	Class and Description
class	AtanFunction Returns the element-wise arctangent of the input vector, compressed between -maxMagnitude and maxMagnitude (instead of just -PI/2 and PI/2)
class	CosineFunction A closed-form cosine function.
class	HardSigmoidFunction A hard sigmoid function, which is an approximation of a logistic sigmoid whose output is between 0 and 1.
class	HardTanHFunction A hard sigmoid function, which is an approximation of a tanh sigmoid whose output is between -1 and 1.
class	IdentityScalarFunction A univariate scalar identity function: f(x) = x.
class	LeakyRectifiedLinearFunction A leaky rectified linear unit.
class	LinearFunction This function acts as a simple linear function of the form f(x) = m*x + b.
class	PolynomialFunction A single polynomial term specified by a real-valued exponent.
static class	PolynomialFunction.Cubic Algebraic treatment for a polynomial of the form y(x) = q0 + q1*x + q2*x^2 + q3*x^3
static class	PolynomialFunction.Linear Utilities for algebraic treatment of a linear polynomial of the form y(x) = q0 + q1*x
static class	PolynomialFunction.Quadratic Utilities for algebraic treatment of a quadratic polynomial of the form y(x) = q0 + q1*x + q2*x^2.
class	RectifiedLinearFunction A rectified linear unit, which is the maximum of its input or 0.
class	SigmoidFunction An implementation of a sigmoid squashing function.
class	SoftPlusFunction A smoothed approximation for rectified linear unit.
class	TanHFunction The hyperbolic tangent (tanh) function.

Uses of DifferentiableEvaluator in gov.sandia.cognition.learning.function.vector

Classes in gov.sandia.cognition.learning.function.vector that implement DifferentiableEvaluator

Modifier and Type	Class and Description
class	DifferentiableGeneralizedLinearModel A GradientDescenable version of a GeneralizedLinearModel, in other words, a GeneralizedLinearModel where the squashing function is differentiable
class	ElementWiseDifferentiableVectorFunction An ElementWiseVectorFunction that is also a DifferentiableVectorFunction
class	LinearVectorFunction The LinearFunction class is a simple VectorFunction that just scales the given input vector by a scalar value.
class	MultivariateDiscriminant Allows learning algorithms (vectorizing, differentiating) on a matrix*vector multiply.
class	MultivariateDiscriminantWithBias A multivariate discriminant (matrix multiply) plus a constant vector that gets added to the output of the discriminant.

Uses of DifferentiableEvaluator in gov.sandia.cognition.math

Subinterfaces of DifferentiableEvaluator in gov.sandia.cognition.math

Modifier and Type	Interface and Description
interface	ClosedFormDifferentiableEvaluator<InputType,OutputType,DerivativeType> A differentiable function that has a closed-form derivative.
interface	DifferentiableUnivariateScalarFunction A differentiable univariate scalar function

Classes in gov.sandia.cognition.math that implement DifferentiableEvaluator

Modifier and Type	Class and Description
class	AbstractDifferentiableUnivariateScalarFunction Partial implementation of DifferentiableUnivariateScalarFunction that implements the differentiate(Double) method with a callback to the differentiate(double) method, so that a concrete class only to implement the differentiate(double) method

Uses of DifferentiableEvaluator in gov.sandia.cognition.math.matrix

Subinterfaces of DifferentiableEvaluator in gov.sandia.cognition.math.matrix

Modifier and Type	Interface and Description
interface	DifferentiableVectorFunction A VectorFunction that can is also differentiable
interface	VectorizableDifferentiableVectorFunction A VectorizableVectorFunction that also define a derivative (this is needed for GradientDescendable).

Classes in gov.sandia.cognition.math.matrix that implement DifferentiableEvaluator

Modifier and Type	Class and Description
class	NumericalDifferentiator<InputType,OutputType,DerivativeType> Automatically differentiates a function by the method of forward differences.
static class	NumericalDifferentiator.DoubleJacobian Numerical differentiator based on a Vector Jacobian.
static class	NumericalDifferentiator.MatrixJacobian Numerical differentiator based on a Matrix Jacobian.
static class	NumericalDifferentiator.VectorJacobian Numerical differentiator based on a Vector Jacobian.

Uses of DifferentiableEvaluator in gov.sandia.cognition.statistics

Subinterfaces of DifferentiableEvaluator in gov.sandia.cognition.statistics

Modifier and Type	Interface and Description
interface	SmoothCumulativeDistributionFunction This defines a CDF that has an associated derivative, which is its PDF.

Uses of DifferentiableEvaluator in gov.sandia.cognition.statistics.bayesian

Classes in gov.sandia.cognition.statistics.bayesian that implement DifferentiableEvaluator

Modifier and Type	Class and Description
static class	AdaptiveRejectionSampling.LineSegment A line that has a minimum and maximum support (x-axis) value.

Uses of DifferentiableEvaluator in gov.sandia.cognition.statistics.distribution

Classes in gov.sandia.cognition.statistics.distribution that implement DifferentiableEvaluator

Modifier and Type	Class and Description
static class	BetaDistribution.CDF CDF of the Beta-family distribution
static class	CauchyDistribution.CDF CDF of the CauchyDistribution.
static class	ChiSquareDistribution.CDF Cumulative Distribution Function (CDF) of a Chi-Square Distribution
static class	ExponentialDistribution.CDF CDF of the ExponentialDistribution.
static class	GammaDistribution.CDF CDF of the Gamma distribution
static class	InverseGammaDistribution.CDF CDF of the inverseRootFinder-gamma distribution.
static class	LaplaceDistribution.CDF CDF of the Laplace distribution.
static class	LogisticDistribution.CDF CDF of the LogisticDistribution
static class	LogNormalDistribution.CDF CDF of the Log-Normal Distribution
static class	ParetoDistribution.CDF CDF of the Pareto Distribution.
static class	ScalarMixtureDensityModel.CDF CDFof the SMDM
static class	StudentTDistribution.CDF Evaluator that computes the Cumulative Distribution Function (CDF) of a Student-t distribution with a fixed number of degrees of freedom
static class	UniformDistribution.CDF Cumulative Distribution Function of a uniform
static class	UnivariateGaussian.CDF CDF of the underlying Gaussian.
static class	WeibullDistribution.CDF CDF of the Weibull distribution

Uses of DifferentiableEvaluator in gov.sandia.cognition.statistics.method

Classes in gov.sandia.cognition.statistics.method that implement DifferentiableEvaluator

Modifier and Type	Class and Description
protected class	DistributionParameterEstimator.DistributionWrapper Maps the parameters of a Distribution and a CostFunction into a Vector/Double Evaluator.