Uses of Interface
gov.sandia.cognition.evaluator.StatefulEvaluator

Packages that use StatefulEvaluator

Package	Description
gov.sandia.cognition.evaluator	Provides interfaces and classes to do with the Evaluator interface.
gov.sandia.cognition.framework.learning	Provides a mechanism for putting learned objects into the Cognitive Framework.
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.math.signals	Provides mathematical signal processing methods.
gov.sandia.cognition.statistics.bayesian	Provides algorithms for computing Bayesian estimates of parameters.

Uses of StatefulEvaluator in gov.sandia.cognition.evaluator

Classes in gov.sandia.cognition.evaluator that implement StatefulEvaluator

Modifier and Type	Class and Description
class	AbstractStatefulEvaluator<InputType,OutputType,StateType extends CloneableSerializable> The AbstractStatefulEvalutor class is an abstract implementation of the StatefulEvalutor interface.

Uses of StatefulEvaluator in gov.sandia.cognition.framework.learning

Methods in gov.sandia.cognition.framework.learning that return StatefulEvaluator

Modifier and Type	Method and Description
StatefulEvaluator<InputType,OutputType,CloneableSerializable>	StatefulEvaluatorBasedCognitiveModule.getStatefulEvaluator() Gets the StatefulEvaluator used by the module.

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

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

Modifier and Type	Class and Description
class	DelayFunction<DataType> Delays the input and returns the input from the parameterized number of samples previous.
class	LinearRegressionCoefficientExtractor Takes a sampled sequence of equal-dimension vectors as input and computes the linear regression coefficients for each dimension in the vectors.

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

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

Modifier and Type	Class and Description
class	KolmogorovSmirnovEvaluator You can specify a particular CDF.

Uses of StatefulEvaluator in gov.sandia.cognition.math.signals

Subinterfaces of StatefulEvaluator in gov.sandia.cognition.math.signals

Modifier and Type	Interface and Description
interface	DiscreteTimeFilter<StateType extends CloneableSerializable> A discrete-time filter.

Classes in gov.sandia.cognition.math.signals that implement StatefulEvaluator

Modifier and Type	Class and Description
class	AutoRegressiveMovingAverageFilter A type of filter using a moving-average calculation.
class	LinearDynamicalSystem A generic Linear Dynamical System of the form x_n = A*x_(n-1) + B*u_n y_n = C*x_n, where x_(n-1) is the previous state, x_n is the current state, u_n is the current input, y_n is the current output, A is the system matrix, B is the input-gain matrix, and C is the output-selector matrix
class	MovingAverageFilter A type of filter using a moving-average calculation.
class	PIDController This class defines a Proportional-plus-Integral-plus-Derivative set-point controller.

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

Fields in gov.sandia.cognition.statistics.bayesian declared as StatefulEvaluator

Modifier and Type	Field and Description
protected StatefulEvaluator<Vector,Vector,Vector>	ExtendedKalmanFilter.motionModel Model that determines how inputs and the previous state are updated.

Methods in gov.sandia.cognition.statistics.bayesian that return StatefulEvaluator

Modifier and Type	Method and Description
StatefulEvaluator<Vector,Vector,Vector>	ExtendedKalmanFilter.getMotionModel() Getter for motionModel

Methods in gov.sandia.cognition.statistics.bayesian with parameters of type StatefulEvaluator

Modifier and Type	Method and Description
void	ExtendedKalmanFilter.setMotionModel(StatefulEvaluator<Vector,Vector,Vector> motionModel) Setter for motionModel

Constructors in gov.sandia.cognition.statistics.bayesian with parameters of type StatefulEvaluator

Constructor and Description
ExtendedKalmanFilter(StatefulEvaluator<Vector,Vector,Vector> motionModel, Evaluator<Vector,Vector> observationModel, Vector currentInput, Matrix modelCovariance, Matrix measurementCovariance) Creates a new instance of ExtendedKalmanFilter