public class ParameterDifferentiableCostMinimizer extends AbstractMinimizerBasedParameterCostMinimizer<GradientDescendable,DifferentiableEvaluator<Vector,java.lang.Double,Vector>>
FunctionMinimizerBFGS to find locally optimal parameters of, for
example, a DifferentiableFeedforwardNeuralNetwork. Any first-order
derivative FunctionMinimizer may be dropped into this class.
FunctionMinimizerBFGS) to
solve virtually all problems. However, when there are too many parameters,
then Liu-Storey conjugate gradient (FunctionMinimizerLiuStorey) is
another good choice.
GradientDescendableApproximator)
or the derivative-free minimization routines, such as those used by
ParameterDerivativeFreeCostMinimizer.FunctionMinimizer,
ParameterDerivativeFreeCostMinimizer,
Serialized Form| Modifier and Type | Class and Description |
|---|---|
static class |
ParameterDifferentiableCostMinimizer.ParameterCostEvaluatorDerivativeBased
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.
|
| Modifier and Type | Field and Description |
|---|---|
static FunctionMinimizer<Vector,java.lang.Double,DifferentiableEvaluator<? super Vector,java.lang.Double,Vector>> |
DEFAULT_FUNCTION_MINIMIZER
Default function minimizer,
FunctionMinimizerBFGS with LineMinimizerBacktracking
|
DEFAULT_COST_FUNCTIONDEFAULT_ITERATION, iteration| Constructor and Description |
|---|
ParameterDifferentiableCostMinimizer()
Creates a new instance of ParameterDifferentiableCostMinimizer
|
ParameterDifferentiableCostMinimizer(FunctionMinimizer<Vector,java.lang.Double,? super DifferentiableEvaluator<Vector,java.lang.Double,Vector>> minimizer)
Creates a new instance of ParameterDerivativeFreeCostMinimizer
|
| Modifier and Type | Method and Description |
|---|---|
ParameterDifferentiableCostMinimizer |
clone()
This makes public the clone method on the
Object class and
removes the exception that it throws. |
ParameterDifferentiableCostMinimizer.ParameterCostEvaluatorDerivativeBased |
createInternalFunction()
Creates the internal function that maps the parameter set of
result as the input to the function, so that the minimization
algorithms can perturb this input in their minimization schemes.
|
getCostFunction, getObjectToOptimize, getPerformance, getResult, learn, setCostFunction, setObjectToOptimize, setResultalgorithmEnded, algorithmStarted, getAlgorithm, getIteration, getMaxIterations, isResultValid, readResolve, setAlgorithm, setMaxIterations, stepEnded, stepStarted, stopaddIterativeAlgorithmListener, fireAlgorithmEnded, fireAlgorithmStarted, fireStepEnded, fireStepStarted, getListeners, removeIterativeAlgorithmListener, setIteration, setListenersequals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitgetMaxIterations, setMaxIterationsaddIterativeAlgorithmListener, getIteration, removeIterativeAlgorithmListenerisResultValid, stoppublic static final FunctionMinimizer<Vector,java.lang.Double,DifferentiableEvaluator<? super Vector,java.lang.Double,Vector>> DEFAULT_FUNCTION_MINIMIZER
public ParameterDifferentiableCostMinimizer()
public ParameterDifferentiableCostMinimizer(FunctionMinimizer<Vector,java.lang.Double,? super DifferentiableEvaluator<Vector,java.lang.Double,Vector>> minimizer)
minimizer - Minimization algorithm used to find locally optimal parameterspublic ParameterDifferentiableCostMinimizer clone()
AbstractCloneableSerializableObject 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.clone in interface CloneableSerializableclone in class AbstractMinimizerBasedParameterCostMinimizer<GradientDescendable,DifferentiableEvaluator<Vector,java.lang.Double,Vector>>public ParameterDifferentiableCostMinimizer.ParameterCostEvaluatorDerivativeBased createInternalFunction()
AbstractMinimizerBasedParameterCostMinimizercreateInternalFunction in class AbstractMinimizerBasedParameterCostMinimizer<GradientDescendable,DifferentiableEvaluator<Vector,java.lang.Double,Vector>>