Class ParameterDifferentiableCostMinimizer.ParameterCostEvaluatorDerivativeBased

  extended by gov.sandia.cognition.util.AbstractCloneableSerializable
      extended by gov.sandia.cognition.learning.algorithm.regression.ParameterDifferentiableCostMinimizer.ParameterCostEvaluatorDerivativeBased
All Implemented Interfaces:
Evaluator<Vector,Double>, DifferentiableEvaluator<Vector,Double,Vector>, CloneableSerializable, Serializable, Cloneable
Enclosing class:

public static class ParameterDifferentiableCostMinimizer.ParameterCostEvaluatorDerivativeBased
extends AbstractCloneableSerializable
implements DifferentiableEvaluator<Vector,Double,Vector>

Function that maps the parameters of an object to its inputs, so that minimization algorithms can tune the parameters of an object against a cost function. Uses algebraic derivatives.

See Also:
Serialized Form

Constructor Summary
ParameterDifferentiableCostMinimizer.ParameterCostEvaluatorDerivativeBased(GradientDescendable internalFunction, DifferentiableCostFunction costFunction)
          Creates a new instance of ParameterCostEvaluatorDerivativeBased
Method Summary
 ParameterDifferentiableCostMinimizer.ParameterCostEvaluatorDerivativeBased clone()
          This makes public the clone method on the Object class and removes the exception that it throws.
 Vector differentiate(Vector input)
          Differentiates the output with respect to the input
 Double evaluate(Vector input)
          Evaluates the function on the given input and returns the output.
Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail


public ParameterDifferentiableCostMinimizer.ParameterCostEvaluatorDerivativeBased(GradientDescendable internalFunction,
                                                                                  DifferentiableCostFunction costFunction)
Creates a new instance of ParameterCostEvaluatorDerivativeBased

internalFunction - Object that we're tweaking the parameters of.
costFunction - Cost function against which to evaluate the cost of the object.
Method Detail


public Vector differentiate(Vector input)
Description copied from interface: DifferentiableEvaluator
Differentiates the output with respect to the input

Specified by:
differentiate in interface DifferentiableEvaluator<Vector,Double,Vector>
input - Input about which to compute the derivative
Derivative of the output with respect to the given input


public Double evaluate(Vector input)
Description copied from interface: Evaluator
Evaluates the function on the given input and returns the output.

Specified by:
evaluate in interface Evaluator<Vector,Double>
input - The input to evaluate.
The output produced by evaluating the input.


public ParameterDifferentiableCostMinimizer.ParameterCostEvaluatorDerivativeBased clone()
Description copied from class: AbstractCloneableSerializable
This makes public the clone method on the Object class and removes the exception that it throws. Its default behavior is to automatically create a clone of the exact type of object that the clone is called on and to copy all primitives but to keep all references, which means it is a shallow copy. Extensions of this class may want to override this method (but call super.clone() to implement a "smart copy". That is, to target the most common use case for creating a copy of the object. Because of the default behavior being a shallow copy, extending classes only need to handle fields that need to have a deeper copy (or those that need to be reset). Some of the methods in ObjectUtil may be helpful in implementing a custom clone method. Note: The contract of this method is that you must use super.clone() as the basis for your implementation.

Specified by:
clone in interface CloneableSerializable
clone in class AbstractCloneableSerializable
A clone of this object.