|
|||||||||
PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
Interface Summary | |
---|---|
DiffFloatFunction | An interface for once-differentiable double-valued functions over double arrays. |
DiffFunction | An interface for once-differentiable double-valued functions over double arrays. |
FloatFunction | An interface for double-valued functions over double arrays. |
Function | An interface for double-valued functions over double arrays. |
HasFloatInitial | Indicates that a function has a method for supplying an intitial value. |
HasInitial | Indicates that a function has a method for supplying an intitial value. |
Minimizer<T extends Function> | The interface for unconstrained function minimizers. |
StochasticMinimizer.PropertySetter<T1> |
Class Summary | |
---|---|
AbstractCachingDiffFloatFunction | |
AbstractCachingDiffFunction | |
AbstractStochasticCachingDiffFunction | |
QNMinimizer | An implementation of L-BFGS for Quasi Newton unconstrained minimization. |
QNMinimizer.SurpriseConvergence | |
ResultStoringFloatMonitor | |
ResultStoringMonitor | |
ScaledSGDMinimizer | Stochastic Gradient Descent To Quasi Newton Minimizer An experimental minimizer which takes a stochastic function (one implementing AbstractStochasticCachingDiffFunction) and executes SGD for the first couple passes, During the final iterations a series of approximate hessian vector products are built up... |
SGDMinimizer | Stochastic Gradient Descent Minimizer The basic way to use the minimizer is with a null constructor, then the simple minimize method: |
SGDToQNMinimizer | Stochastic Gradient Descent To Quasi Newton Minimizer An experimental minimizer which takes a stochastic function (one implementing AbstractStochasticCachingDiffFunction) and executes SGD for the first couple passes, During the final iterations a series of approximate hessian vector products are built up... |
SMDMinimizer | Stochastic Meta Descent Minimizer based on |
StochasticDiffFunctionTester | |
StochasticMinimizer | Stochastic Gradient Descent Minimizer The basic way to use the minimizer is with a null constructor, then the simple minimize method: |
StochasticMinimizer.InvalidElementException |
Enum Summary | |
---|---|
AbstractStochasticCachingDiffFunction.SamplingMethod | |
QNMinimizer.eLineSearch | |
QNMinimizer.eScaling | |
QNMinimizer.eState | |
StochasticCalculateMethods | This enumeratin was created to organize the selection of different methods for stochastic calculations. |
|
|||||||||
PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |