Uses of Interface
gov.sandia.cognition.learning.function.regression.Regressor

Packages that use Regressor
gov.sandia.cognition.learning.algorithm.ensemble Provides ensmble methods. 
gov.sandia.cognition.learning.algorithm.tree Provides decision tree learning algorithms. 
gov.sandia.cognition.learning.function.scalar Provides functions that output real numbers. 
 

Uses of Regressor in gov.sandia.cognition.learning.algorithm.ensemble
 

Classes in gov.sandia.cognition.learning.algorithm.ensemble that implement Regressor
 class AdditiveEnsemble<InputType,MemberType extends Evaluator<? super InputType,? extends Number>>
          An ensemble of regression functions that determine the result by adding their outputs together.
 class AveragingEnsemble<InputType,MemberType extends Evaluator<? super InputType,? extends Number>>
          An ensemble for regression functions that averages together the output value of each ensemble member to get the final output.
 class WeightedAdditiveEnsemble<InputType,MemberType extends Evaluator<? super InputType,? extends Number>>
          An implementation of an ensemble that takes a weighted sum of the values returned by its members.
 class WeightedAveragingEnsemble<InputType,MemberType extends Evaluator<? super InputType,? extends Number>>
          An implementation of an ensemble that takes the weighted average of its members.
 

Uses of Regressor in gov.sandia.cognition.learning.algorithm.tree
 

Classes in gov.sandia.cognition.learning.algorithm.tree that implement Regressor
 class RegressionTree<InputType>
          The RegressionTree class extends the DecisionTree class to implement a decision tree that does regression.
 

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

Classes in gov.sandia.cognition.learning.function.scalar that implement Regressor
 class KernelScalarFunction<InputType>
          The KernelScalarFunction class implements a scalar function that uses a kernel to compute its output value.
 class LinearCombinationScalarFunction<InputType>
          A weighted linear combination of scalar functions.
 class LocallyWeightedKernelScalarFunction<InputType>
          The LocallyWeightedKernelScalarFunction class implements a scalar function that uses kernels and does local weighting on them to get the result value.