Uses of Class
gov.sandia.cognition.learning.function.vector.MultivariateDiscriminant

Packages that use MultivariateDiscriminant
gov.sandia.cognition.learning.algorithm.pca Provides implementations of Principle Components Analysis (PCA). 
gov.sandia.cognition.learning.function.vector Provides functions that output vectors. 
 

Uses of MultivariateDiscriminant in gov.sandia.cognition.learning.algorithm.pca
 

Methods in gov.sandia.cognition.learning.algorithm.pca that return MultivariateDiscriminant
 MultivariateDiscriminant PrincipalComponentsAnalysisFunction.getDimensionReducer()
          Getter for dimensionReducer
 

Methods in gov.sandia.cognition.learning.algorithm.pca with parameters of type MultivariateDiscriminant
 void PrincipalComponentsAnalysisFunction.setDimensionReducer(MultivariateDiscriminant dimensionReducer)
          Setter for dimensionReducer
 

Constructors in gov.sandia.cognition.learning.algorithm.pca with parameters of type MultivariateDiscriminant
PrincipalComponentsAnalysisFunction(Vector mean, MultivariateDiscriminant dimensionReducer)
          Creates a new instance of PrincipalComponentAnalysisFunction
 

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

Subclasses of MultivariateDiscriminant in gov.sandia.cognition.learning.function.vector
 class MultivariateDiscriminantWithBias
          A multivariate discriminant (matrix multiply) plus a constant vector that gets added to the output of the discriminant.
 

Methods in gov.sandia.cognition.learning.function.vector that return MultivariateDiscriminant
 MultivariateDiscriminant MultivariateDiscriminant.clone()
           
 MultivariateDiscriminant GeneralizedLinearModel.getDiscriminant()
          Getter for discriminant
 

Methods in gov.sandia.cognition.learning.function.vector with parameters of type MultivariateDiscriminant
 void GeneralizedLinearModel.setDiscriminant(MultivariateDiscriminant discriminant)
          Setter for discriminant
 

Constructors in gov.sandia.cognition.learning.function.vector with parameters of type MultivariateDiscriminant
DifferentiableGeneralizedLinearModel(MultivariateDiscriminant matrixMultiply, DifferentiableUnivariateScalarFunction scalarSquashingFunction)
          Creates a new instance of DifferentiableGeneralizedLinearModel
DifferentiableGeneralizedLinearModel(MultivariateDiscriminant matrixMultiply, DifferentiableVectorFunction squashingFunction)
          Creates a new instance of DifferentiableGeneralizedLinearModel
GeneralizedLinearModel(MultivariateDiscriminant matrixMultiply, UnivariateScalarFunction scalarSquashingFunction)
          Creates a new instance of GeneralizedLinearModel
GeneralizedLinearModel(MultivariateDiscriminant discriminant, VectorFunction squashingFunction)
          Creates a new instance of GeneralizedLinearModel
MultivariateDiscriminant(MultivariateDiscriminant other)
          Copy constructor