Package | Description |
---|---|
org.drip.learning.kernel | |
org.drip.learning.regularization | |
org.drip.learning.svm | |
org.drip.spaces.functionclass | |
org.drip.spaces.metric | |
org.drip.spaces.rxtor1 | |
org.drip.spaces.rxtord |
Modifier and Type | Method and Description |
---|---|
RdNormed |
SymmetricRdToNormedRdKernel.inputMetricVectorSpace()
Retrieve the Symmetric Input Metric R^d Vector Space
|
RdNormed |
SymmetricRdToNormedR1Kernel.inputMetricVectorSpace()
Retrieve the Symmetric Input Metric R^d Vector Space
|
RdNormed |
IntegralOperatorEigenContainer.inputMetricVectorSpace()
Retrieve the Eigen Input Space
|
RdNormed |
SymmetricRdToNormedRdKernel.outputMetricVectorSpace()
Retrieve the Output R^d Metric Vector Space
|
Constructor and Description |
---|
SymmetricRdToNormedR1Kernel(RdNormed rdContinuousInput,
R1Normed r1ContinuousOutput)
SymmetricRdToNormedR1Kernel Constructor
|
SymmetricRdToNormedRdKernel(RdNormed rdContinuousInput,
RdNormed rdContinuousOutput)
SymmetricRdToNormedRdKernel Constructor
|
Modifier and Type | Method and 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
|
Modifier and Type | Method and Description |
---|---|
RdNormed |
RdDecisionFunction.inverseMarginSpace()
Retrieve the Inverse Margin Weight Metric Vector Space
|
Constructor and 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
|
Modifier and Type | Method and Description |
---|---|
RdNormed |
NormedRxToNormedRdFinite.outputMetricVectorSpace() |
Modifier and Type | Class and Description |
---|---|
class |
RdCombinatorialBall
RdCombinatorialBall extends the Combinatorial R^d Banach Space by enforcing the Closed Bounded Metric.
|
class |
RdCombinatorialBanach
RdCombinatorialBanach implements the Bounded/Unbounded Combinatorial l^p R^d Spaces.
|
class |
RdCombinatorialHilbert
RdCombinatorialHilbert implements the Bounded/Unbounded, Combinatorial l^2 R^d Spaces.
|
class |
RdContinuousBall
RdContinuousBall extends the Continuous R^d Banach Space by enforcing the Closed Bounded Metric.
|
class |
RdContinuousBanach
RdContinuousBanach implements the Normed, Bounded/Unbounded Continuous l^p R^d Spaces.
|
class |
RdContinuousHilbert
RdContinuousHilbert implements the Bounded/Unbounded, Continuous l^2 R^d Spaces.
|
Modifier and Type | Method and Description |
---|---|
RdNormed |
NormedRdToNormedR1.inputMetricVectorSpace() |
Modifier and Type | Method and Description |
---|---|
RdNormed |
NormedRdToNormedRd.inputMetricVectorSpace() |
abstract RdNormed |
NormedRxToNormedRd.outputMetricVectorSpace()
Retrieve the Output Metric Vector Space
|
RdNormed |
NormedRdToNormedRd.outputMetricVectorSpace() |
RdNormed |
NormedR1ToNormedRd.outputMetricVectorSpace() |