Uses of Interface

Packages that use StatefulEvaluator
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. 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
 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
 StatefulEvaluator<InputType,OutputType,CloneableSerializable> StatefulEvaluatorBasedCognitiveModule.getStatefulEvaluator()
          Gets the StatefulEvaluator used by the module.

Uses of StatefulEvaluator in

Classes in that implement StatefulEvaluator
 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
 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
 interface DiscreteTimeFilter<StateType extends CloneableSerializable>
          A discrete-time filter.

Classes in gov.sandia.cognition.math.signals that implement StatefulEvaluator
 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
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
 StatefulEvaluator<Vector,Vector,Vector> ExtendedKalmanFilter.getMotionModel()
          Getter for motionModel

Methods in gov.sandia.cognition.statistics.bayesian with parameters of type StatefulEvaluator
 void ExtendedKalmanFilter.setMotionModel(StatefulEvaluator<Vector,Vector,Vector> motionModel)
          Setter for motionModel

Constructors in gov.sandia.cognition.statistics.bayesian with parameters of type StatefulEvaluator
ExtendedKalmanFilter(StatefulEvaluator<Vector,Vector,Vector> motionModel, Evaluator<Vector,Vector> observationModel, Vector currentInput, Matrix modelCovariance, Matrix measurementCovariance)
          Creates a new instance of ExtendedKalmanFilter