Package org.drip.learning.rxtor1
Class EmpiricalPenaltySupremum
java.lang.Object
org.drip.learning.rxtor1.EmpiricalPenaltySupremum
public class EmpiricalPenaltySupremum
extends java.lang.Object
EmpiricalPenaltySupremum holds the Learning Function that corresponds to the Empirical Supremum, as
well as the corresponding Supremum Value.
- Module = Computational Core Module
- Library = Statistical Learning
- Project = Agnostic Learning Bounds under Empirical Loss Minimization Schemes
- Package = Statistical Learning Empirical Loss Penalizer
- Author:
- Lakshmi Krishnamurthy
-
Constructor Summary
Constructors Constructor Description EmpiricalPenaltySupremum(int iIndex, double dblValue)
EmpiricalPenaltySupremum Constructor -
Method Summary
Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
-
Constructor Details
-
EmpiricalPenaltySupremum
public EmpiricalPenaltySupremum(int iIndex, double dblValue) throws java.lang.ExceptionEmpiricalPenaltySupremum Constructor- Parameters:
iIndex
- Penalty IndexdblValue
- Penalty Value- Throws:
java.lang.Exception
- Thrown if the Inputs are Invalid
-
-
Method Details
-
index
public int index()Retrieve the Index of the Supremum Empirical Function- Returns:
- The Index of the Supremum Empirical Function
-
value
public double value()Retrieve the Value of the Supremum Empirical Function- Returns:
- The Value of the Supremum Empirical Function
-