Uses of Interface
org.drip.spaces.metric.RdNormed

Packages that use RdNormed

Package	Description
org.drip.learning.kernel	Statistical Learning Banach Mercer Kernels
org.drip.learning.regularization	Statistical Learning Empirical Loss Regularizer
org.drip.learning.svm	Kernel SVM Decision Function Operator
org.drip.spaces.functionclass	Normed Finite Spaces Function Class
org.drip.spaces.metric	Hilbert/Banach Normed Metric Spaces
org.drip.spaces.rxtor1	Rx To R1 Normed Function Spaces
org.drip.spaces.rxtord	Rx To Rd Normed Function Spaces

Uses of RdNormed in org.drip.learning.kernel

Methods in org.drip.learning.kernel that return RdNormed

Modifier and Type	Method	Description
RdNormed	IntegralOperatorEigenContainer.inputMetricVectorSpace()	Retrieve the Eigen Input Space
RdNormed	SymmetricRdToNormedR1Kernel.inputMetricVectorSpace()	Retrieve the Symmetric Input Metric R^d Vector Space
RdNormed	SymmetricRdToNormedRdKernel.inputMetricVectorSpace()	Retrieve the Symmetric Input Metric R^d Vector Space
RdNormed	SymmetricRdToNormedRdKernel.outputMetricVectorSpace()	Retrieve the Output R^d Metric Vector Space

Constructors in org.drip.learning.kernel with parameters of type RdNormed

Constructor	Description
SymmetricRdToNormedR1Kernel(RdNormed rdContinuousInput, R1Normed r1ContinuousOutput)	SymmetricRdToNormedR1Kernel Constructor
SymmetricRdToNormedRdKernel(RdNormed rdContinuousInput, RdNormed rdContinuousOutput)	SymmetricRdToNormedRdKernel Constructor

Uses of RdNormed in org.drip.learning.regularization

Methods in org.drip.learning.regularization with parameters of type RdNormed

Modifier and Type	Method	Description
static RegularizerRdToR1	RegularizerBuilder.ToRdContinuous(RdToR1 funcRegularizerRdToR1, RdNormed rdInput, R1Continuous r1ContinuousOutput, double dblLambda)	Construct an Instance of R^d Combinatorial/Continuous To R^1 Continuous Regularizer

Uses of RdNormed in org.drip.learning.svm

Methods in org.drip.learning.svm that return RdNormed

Modifier and Type	Method	Description
RdNormed	RdDecisionFunction.inverseMarginSpace()	Retrieve the Inverse Margin Weight Metric Vector Space

Constructors in org.drip.learning.svm with parameters of type RdNormed

Constructor	Description
KernelRdDecisionFunction(RdNormed rdInverseMargin, double[] adblInverseMarginWeight, double dblB, SymmetricRdToNormedRdKernel kernel, double[][] aadblKernelPredictorPivot)	KernelRdDecisionFunction Constructor
LinearRdDecisionFunction(RdGeneralizedVector gmvsPredictor, RdNormed rmnsInverseMargin, double[] adblInverseMarginWeight, double dblB)	LinearRdDecisionFunction Constructor
RdDecisionFunction(RdGeneralizedVector rdPredictor, RdNormed rdInverseMargin, double[] adblInverseMarginWeight, double dblB)	RdDecisionFunction Constructor

Uses of RdNormed in org.drip.spaces.functionclass

Methods in org.drip.spaces.functionclass that return RdNormed

Modifier and Type	Method	Description
RdNormed	NormedRxToNormedRdFinite.outputMetricVectorSpace()

Uses of RdNormed in org.drip.spaces.metric

Classes in org.drip.spaces.metric that implement RdNormed

Modifier and Type	Class	Description
class	RdCombinatorialBall	RdCombinatorialBall extends the Combinatorial Rd Banach Space by enforcing the Closed Bounded Metric.
class	RdCombinatorialBanach	RdCombinatorialBanach implements the Bounded/Unbounded Combinatorial lp Rd Spaces.
class	RdCombinatorialHilbert	RdCombinatorialHilbert implements the Bounded/Unbounded, Combinatorial l2 Rd Spaces.
class	RdContinuousBall	RdContinuousBall extends the Continuous Rd Banach Space by enforcing the Closed Bounded Metric.
class	RdContinuousBanach	RdContinuousBanach implements the Normed, Bounded/Unbounded Continuous lp Rd Spaces.
class	RdContinuousHilbert	RdContinuousHilbert implements the Bounded/Unbounded, Continuous l2 Rd Spaces.

Uses of RdNormed in org.drip.spaces.rxtor1

Methods in org.drip.spaces.rxtor1 that return RdNormed

Modifier and Type	Method	Description
RdNormed	NormedRdToNormedR1.inputMetricVectorSpace()	Retrieve the Input Metric Vector Space

Uses of RdNormed in org.drip.spaces.rxtord

Methods in org.drip.spaces.rxtord that return RdNormed

Modifier and Type	Method	Description
RdNormed	NormedRdToNormedRd.inputMetricVectorSpace()	Retrieve the Input Metric Vector Space
RdNormed	NormedR1ToNormedRd.outputMetricVectorSpace()	Retrieve the Output Metric Vector Space
RdNormed	NormedRdToNormedRd.outputMetricVectorSpace()	Retrieve the Output Metric Vector Space
abstract RdNormed	NormedRxToNormedRd.outputMetricVectorSpace()	Retrieve the Output Metric Vector Space