| Package | Description |
|---|---|
| org.drip.learning.rxtor1 | |
| org.drip.spaces.functionclass |
| Modifier and Type | Method and Description |
|---|---|
NormedRxToNormedR1Finite |
GeneralizedLearner.functionClass() |
NormedRxToNormedR1Finite |
EmpiricalLearningMetricEstimator.functionClass()
Retrieve the Underlying Learner Function Class
|
| Constructor and Description |
|---|
ApproximateLipschitzLossLearner(NormedRxToNormedR1Finite funcClassRxToR1,
CoveringNumberLossBound cdpb,
RegularizationFunction regularizerFunc,
double dblLipschitzSlope,
double dblLipschitzFloor)
ApproximateLipschitzLossLearner Constructor
|
GeneralizedLearner(NormedRxToNormedR1Finite funcClassRxToR1,
CoveringNumberLossBound funcClassCNLB,
RegularizationFunction regularizerFunc)
GeneralizedLearner Constructor
|
L1LossLearner(NormedRxToNormedR1Finite funcClassRxToR1,
CoveringNumberLossBound cdpb,
RegularizationFunction regularizerFunc,
MeasureConcentrationExpectationBound cleb)
L1LossLearner Constructor
|
LipschitzLossLearner(NormedRxToNormedR1Finite funcClassRxToR1,
CoveringNumberLossBound cdpb,
RegularizationFunction regularizerFunc,
double dblLipschitzSlope)
LipschitzLossLearner Constructor
|
LpLossLearner(NormedRxToNormedR1Finite funcClassRxToR1,
CoveringNumberLossBound cdpb,
RegularizationFunction regularizerFunc,
double dblLossExponent)
LpLossLearner Constructor
|
| Modifier and Type | Class and Description |
|---|---|
class |
NormedR1ToL1R1Finite
NormedR1ToL1R1Finite implements the Class f E F : Normed R^1 To L1 R^1 Spaces of Finite Functions.
|
class |
NormedR1ToNormedR1Finite
NormedR1ToNormedR1Finite implements the Class F of f : Normed R^1 To Normed R^1 Spaces of Finite
Functions.
|
class |
NormedRdToNormedR1Finite
NormedRdToNormedR1Finite implements the Class F of f : Normed R^d To Normed R^1 Spaces of Finite
Functions.
|