Uses of Class
gov.sandia.cognition.math.AbstractScalarFunction

Packages that use AbstractScalarFunction

Package	Description
gov.sandia.cognition.learning.algorithm.factor.machine	Provides factorization machine algorithms.
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.regression	Provides functions that output real numbers from some input data structure.
gov.sandia.cognition.learning.function.scalar	Provides functions that output real numbers.
gov.sandia.cognition.math	Provides classes for mathematical computation.
gov.sandia.cognition.statistics.bayesian	Provides algorithms for computing Bayesian estimates of parameters.
gov.sandia.cognition.statistics.distribution	Provides statistical distributions.

Uses of AbstractScalarFunction in gov.sandia.cognition.learning.algorithm.factor.machine

Subclasses of AbstractScalarFunction in gov.sandia.cognition.learning.algorithm.factor.machine

Modifier and Type	Class and Description
class	FactorizationMachine Implements a Factorization Machine.

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

Subclasses of AbstractScalarFunction in gov.sandia.cognition.learning.algorithm.minimization.line

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 AbstractScalarFunction in gov.sandia.cognition.learning.algorithm.root

Subclasses of AbstractScalarFunction in gov.sandia.cognition.learning.algorithm.root

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

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

Subclasses of AbstractScalarFunction in gov.sandia.cognition.learning.data.feature

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 AbstractScalarFunction in gov.sandia.cognition.learning.function.regression

Subclasses of AbstractScalarFunction in gov.sandia.cognition.learning.function.regression

Modifier and Type	Class and Description
class	AbstractRegressor<InputType> An abstract implementation of the Regressor interface.

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

Subclasses of AbstractScalarFunction in gov.sandia.cognition.learning.function.scalar

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	LinearDiscriminant LinearDiscriminant takes the dot product between the weight Vector and the input Vector.
class	LinearDiscriminantWithBias A LinearDiscriminant with an additional bias term that gets added to the output of the dot product.
class	LinearFunction This function acts as a simple linear function of the form f(x) = m*x + b.
class	LinearVectorScalarFunction The LinearVectorScalarFunction class implements a scalar function that is implemented by a linear function.
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}.
class	VectorEntryFunction An evaluator that returns the value of an input vector at a specified index.
class	VectorFunctionLinearDiscriminant<InputType> This class takes a function that maps a generic InputType to a Vector.
class	VectorFunctionToScalarFunction<InputType> The VectorFunctionToScalarFunction class implements an adapter for using a vector function that outputs a single-dimensional vector as a scalar function.

Uses of AbstractScalarFunction in gov.sandia.cognition.math

Subclasses of AbstractScalarFunction in gov.sandia.cognition.math

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 AbstractScalarFunction in gov.sandia.cognition.statistics.bayesian

Subclasses of AbstractScalarFunction in gov.sandia.cognition.statistics.bayesian

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 AbstractScalarFunction in gov.sandia.cognition.statistics.distribution

Subclasses of AbstractScalarFunction in gov.sandia.cognition.statistics.distribution

Modifier and Type	Class and Description
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