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

Packages that use UnivariateScalarFunction

Package	Description
gov.sandia.cognition.learning.algorithm.minimization.line	Provides line (scalar) minimization algorithms.
gov.sandia.cognition.learning.algorithm.root	Provides algorithms for finding the roots, or zero crossings, of scalar functions.
gov.sandia.cognition.learning.data.feature	Provides data feature extractors.
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.math.matrix.mtj	Provides a linear algebra package implementation wrapper using the Matrix Toolkits for Java (MTJ) library.
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.

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

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

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.

Uses of UnivariateScalarFunction in gov.sandia.cognition.learning.algorithm.root

Classes in gov.sandia.cognition.learning.algorithm.root that implement UnivariateScalarFunction

Modifier and Type	Class and Description
class	SolverFunction Evaluator that allows RootFinders to solve for nonzero values by setting a "target" parameter.

Uses of UnivariateScalarFunction in gov.sandia.cognition.learning.data.feature

Classes in gov.sandia.cognition.learning.data.feature that implement UnivariateScalarFunction

Modifier and Type	Class and Description
class	StandardDistributionNormalizer The StandardDistributionNormalizer class implements a normalization method where a real value is converted onto a standard distribution.

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

Subinterfaces of UnivariateScalarFunction 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 UnivariateScalarFunction

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.
class	ThresholdFunction Maps the input space onto the set {LOW_VALUE,HIGH_VALUE}.

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

Methods in gov.sandia.cognition.learning.function.vector that return UnivariateScalarFunction

Modifier and Type	Method and Description
UnivariateScalarFunction	ElementWiseVectorFunction.getScalarFunction() Getter for scalarFunction

Methods in gov.sandia.cognition.learning.function.vector with parameters of type UnivariateScalarFunction

Modifier and Type	Method and Description
static Vector	ElementWiseVectorFunction.evaluate(Vector input, UnivariateScalarFunction function) Applies the scalar function to each element of the input Vector independently of all others, returning a Vector of equal dimension as the input
void	ElementWiseDifferentiableVectorFunction.setScalarFunction(UnivariateScalarFunction scalarFunction)
void	ElementWiseVectorFunction.setScalarFunction(UnivariateScalarFunction scalarFunction) Setter for scalarFunction

Constructors in gov.sandia.cognition.learning.function.vector with parameters of type UnivariateScalarFunction

Constructor and Description
ElementWiseVectorFunction(UnivariateScalarFunction scalarFunction) Creates a new instance of ElementWiseVectorFunction
FeedforwardNeuralNetwork(int numInputs, int numHiddens, int numOutputs, UnivariateScalarFunction activationFunction) Creates a new instance of FeedforwardNeuralNetwork
GeneralizedLinearModel(int numInputs, int numOutputs, UnivariateScalarFunction scalarFunction) Creates a new instance of GeneralizedLinearModel
GeneralizedLinearModel(MultivariateDiscriminant matrixMultiply, UnivariateScalarFunction scalarSquashingFunction) Creates a new instance of GeneralizedLinearModel

Constructor parameters in gov.sandia.cognition.learning.function.vector with type arguments of type UnivariateScalarFunction

Constructor and Description
FeedforwardNeuralNetwork(java.util.ArrayList<java.lang.Integer> nodesPerLayer, java.util.ArrayList<? extends UnivariateScalarFunction> layerActivationFunctions) Creates a new instance of FeedforwardNeuralNetwork

Uses of UnivariateScalarFunction in gov.sandia.cognition.math

Subinterfaces of UnivariateScalarFunction in gov.sandia.cognition.math

Modifier and Type	Interface and Description
interface	DifferentiableUnivariateScalarFunction A differentiable univariate scalar function

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

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
class	AbstractUnivariateScalarFunction Abstract implementation of ScalarFunction where the evaluate(Double) method calls back into the evaluate(double) method.

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

Methods in gov.sandia.cognition.math.matrix with parameters of type UnivariateScalarFunction

Modifier and Type	Method and Description
Vector	AbstractVector.transform(UnivariateScalarFunction function)
Vector	Vector.transform(UnivariateScalarFunction function) Applies the given function to each of the elements of this vector and returns a new vector with the result.
void	AbstractVector.transformEquals(UnivariateScalarFunction function)
void	Vector.transformEquals(UnivariateScalarFunction function) Applies the given function to each of the elements of this vector and sets them to the result.
Vector	AbstractVector.transformNonZeros(UnivariateScalarFunction function)
Vector	Vector.transformNonZeros(UnivariateScalarFunction function) Applies the given function to each of the non-zero elements of this vector and returns a new vector with the result.
void	AbstractVector.transformNonZerosEquals(UnivariateScalarFunction function)
void	Vector.transformNonZerosEquals(UnivariateScalarFunction function) Applies the given function to each of the non-zero elements of this vector and sets them to the result.

Uses of UnivariateScalarFunction in gov.sandia.cognition.math.matrix.mtj

Methods in gov.sandia.cognition.math.matrix.mtj with parameters of type UnivariateScalarFunction

Modifier and Type	Method and Description
void	DenseVector.transformEquals(UnivariateScalarFunction function)
void	DenseVector.transformNonZerosEquals(UnivariateScalarFunction function)
void	SparseVector.transformNonZerosEquals(UnivariateScalarFunction function)

Uses of UnivariateScalarFunction in gov.sandia.cognition.statistics

Subinterfaces of UnivariateScalarFunction 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.
interface	UnivariateProbabilityDensityFunction A PDF that takes doubles as input.

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

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

Modifier and Type	Class and Description
class	AdaptiveRejectionSampling.AbstractEnvelope Describes an enveloping function comprised of a sorted sequence of lines
static class	AdaptiveRejectionSampling.LineSegment A line that has a minimum and maximum support (x-axis) value.
static class	AdaptiveRejectionSampling.LogEvaluator<EvaluatorType extends Evaluator<java.lang.Double,java.lang.Double>> Wraps an Evaluator and takes the natural logarithm of the evaluate method
class	AdaptiveRejectionSampling.LowerEnvelope Define the lower envelope for Adaptive Rejection Sampling
static class	AdaptiveRejectionSampling.PDFLogEvaluator Wraps a PDF so that it returns the logEvaluate method.
class	AdaptiveRejectionSampling.UpperEnvelope Constructs the upper envelope for sampling.

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

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

Modifier and Type	Class and Description
static class	BetaDistribution.CDF CDF of the Beta-family distribution
static class	BetaDistribution.PDF Beta distribution probability density function
static class	CauchyDistribution.CDF CDF of the CauchyDistribution.
static class	CauchyDistribution.PDF PDF of the CauchyDistribution.
static class	ChiSquareDistribution.CDF Cumulative Distribution Function (CDF) of a Chi-Square Distribution
static class	ChiSquareDistribution.PDF PDF of the Chi-Square distribution
static class	DeterministicDistribution.CDF CDF of the deterministic distribution.
static class	ExponentialDistribution.CDF CDF of the ExponentialDistribution.
static class	ExponentialDistribution.PDF PDF of the ExponentialDistribution.
static class	GammaDistribution.CDF CDF of the Gamma distribution
static class	GammaDistribution.PDF Closed-form PDF of the Gamma distribution
static class	InverseGammaDistribution.CDF CDF of the inverseRootFinder-gamma distribution.
static class	InverseGammaDistribution.PDF PDF of the inverseRootFinder-Gamma distribution.
static class	LaplaceDistribution.CDF CDF of the Laplace distribution.
static class	LaplaceDistribution.PDF The PDF of a Laplace Distribution.
static class	LogisticDistribution.CDF CDF of the LogisticDistribution
static class	LogisticDistribution.PDF PDF of the LogisticDistribution
static class	LogNormalDistribution.CDF CDF of the Log-Normal Distribution
static class	LogNormalDistribution.PDF PDF of a Log-normal distribution
static class	ParetoDistribution.CDF CDF of the Pareto Distribution.
static class	ParetoDistribution.PDF PDF of the ParetoDistribution
static class	ScalarMixtureDensityModel.CDF CDFof the SMDM
static class	ScalarMixtureDensityModel.PDF PDF of the SMDM
static class	SnedecorFDistribution.CDF CDF of the F-distribution.
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	StudentTDistribution.PDF Evaluator that computes the Probability Density 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	UniformDistribution.PDF Probability density function of a Uniform Distribution
static class	UnivariateGaussian.CDF CDF of the underlying Gaussian.
static class	UnivariateGaussian.CDF.Inverse Inverts the CumulativeDistribution function.
static class	UnivariateGaussian.ErrorFunction Gaussian Error Function, useful for computing the cumulative distribution function for a Gaussian.
static class	UnivariateGaussian.ErrorFunction.Inverse Inverse of the ErrorFunction
static class	UnivariateGaussian.PDF PDF of the underlying Gaussian.
static class	WeibullDistribution.CDF CDF of the Weibull distribution
static class	WeibullDistribution.PDF PDF of the Weibull distribution