| Package | Description |
|---|---|
| org.drip.learning.rxtor1 |
| Modifier and Type | Method and Description |
|---|---|
RegularizationFunction |
GeneralizedLearner.regularizerFunction() |
RegularizationFunction |
EmpiricalLearningMetricEstimator.regularizerFunction()
Retrieve the Regularizer Function
|
| 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
|