Name | Description | Type | Package | Framework |
AbstractCachingDiffFloatFunction | Class | edu.stanford.nlp.optimization | Stanford Parser | |
AbstractCachingDiffFunction | Class | edu.stanford.nlp.optimization | Stanford Parser | |
AbstractStochasticCachingDiffFunction | Class | edu.stanford.nlp.optimization | Stanford Parser | |
AbstractStochasticCachingDiffFunction .SamplingMethod | Returns the enum constant of this type | Class | edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction | Stanford Parser |
AbstractStochasticCachingDiffUpdateFunction | Function for stochastic calculations that does update in place (instead of maintaining and returning the derivative). | Class | edu.stanford.nlp.optimization | Stanford Parser |
CGMinimizer | Conjugate-gradient implementation based on the code in Numerical Recipes in C. | Class | edu.stanford.nlp.optimization | Stanford Parser |
CmdEvaluator | Class | edu.stanford.nlp.optimization | Stanford Parser | |
DiffFloatFunction | An interface for once-differentiable double-valued functions over double arrays. | Interface | edu.stanford.nlp.optimization | Stanford Parser |
DiffFunction | An interface for once-differentiable double-valued functions over double arrays. | Interface | edu.stanford.nlp.optimization | Stanford Parser |
FloatFunction | An interface for double-valued functions over double arrays. | Interface | edu.stanford.nlp.optimization | Stanford Parser |
Function | An interface for double-valued functions over double arrays. | Interface | edu.stanford.nlp.optimization | Stanford Parser |
GoldenSectionLineSearch | A class to do golden section line search. | Class | edu.stanford.nlp.optimization | Stanford Parser |
HasEvaluators | Interface | edu.stanford.nlp.optimization | Stanford Parser | |
HasFeatureGrouping | Interface | edu.stanford.nlp.optimization | Stanford Parser | |
HasFloatInitial | Indicates that a function has a method for supplying an intitial value. | Interface | edu.stanford.nlp.optimization | Stanford Parser |
HasInitial | Indicates that a function has a method for supplying an intitial value. | Interface | edu.stanford.nlp.optimization | Stanford Parser |
HasRegularizerParamRange | Indicates that a Function should only be regularized on a subsetgetRegularizerParamRange | Interface | edu.stanford.nlp.optimization | Stanford Parser |
HybridMinimizer | Hybrid Minimizer is set up as a combination of two minimizers. | Class | edu.stanford.nlp.optimization | Stanford Parser |
InefficientSGDMinimizer | Stochastic Gradient Descent Minimizer. | Class | edu.stanford.nlp.optimization | Stanford Parser |
LineSearcher | The interface for one variable function minimizers. | Interface | edu.stanford.nlp.optimization | Stanford Parser |
MemoryEvaluator | Class | edu.stanford.nlp.optimization | Stanford Parser | |
Minimizer | The interface for unconstrained function minimizers. | Interface | edu.stanford.nlp.optimization | Stanford Parser |
QNMinimizer | An implementation of L-BFGS for Quasi Newton unconstrained minimization. | Class | edu.stanford.nlp.optimization | Stanford Parser |
QNMinimizer .eLineSearch | Returns the enum constant of this type with the specified name. | Class | edu.stanford.nlp.optimization.QNMinimizer | Stanford Parser |
QNMinimizer .eScaling | Returns the enum constant of this type with the specified name. | Class | edu.stanford.nlp.optimization.QNMinimizer | Stanford Parser |
QNMinimizer .eState | Returns the enum constant of this type with the specified name. | Class | edu.stanford.nlp.optimization.QNMinimizer | Stanford Parser |
QNMinimizer .SurpriseConvergence | Class | edu.stanford.nlp.optimization.QNMinimizer | Stanford Parser | |
ResultStoringFloatMonitor | Class | edu.stanford.nlp.optimization | Stanford Parser | |
ResultStoringMonitor | Class | edu.stanford.nlp.optimization | Stanford Parser | |
ScaledSGDMinimizer | Stochastic Gradient Descent To Quasi Newton Minimizer. | Class | edu.stanford.nlp.optimization | Stanford Parser |
ScaledSGDMinimizer .Weights | Class | edu.stanford.nlp.optimization.ScaledSGDMinimizer | Stanford Parser | |
SGDMinimizer | In place Stochastic Gradient Descent Minimizer. | Class | edu.stanford.nlp.optimization | Stanford Parser |
SGDToQNMinimizer | Stochastic Gradient Descent To Quasi Newton Minimizer An experimental minimizer which takes a stochastic function (one implementing AbstractStochasticCachingDiffFunction) | Class | edu.stanford.nlp.optimization | Stanford Parser |
SGDWithAdaGradAndFOBOS | Stochastic Gradient Descent With AdaGrad and FOBOS in batch mode. | Class | edu.stanford.nlp.optimization | Stanford Parser |
SGDWithAdaGradAndFOBOS .Prior | Returns the enum constant of this type with the specified name. | Class | edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS | Stanford Parser |
SMDMinimizer | Stochastic Meta Descent Minimizer based on Accelerated training of conditional random fields with stochastic gradient methods | Class | edu.stanford.nlp.optimization | Stanford Parser |
SQNMinimizer | Online Limited-Memory Quasi-Newton BFGS implementation based on the algorithms in Nocedal, Jorge, and Stephen J. | Class | edu.stanford.nlp.optimization | Stanford Parser |
StochasticCalculateMethods | enum StochasticCalculateMethodsThis enumeratin was created to organize the selection of different methods for stochastic | Class | edu.stanford.nlp.optimization | Stanford Parser |
StochasticDiffFunctionTester | Class | edu.stanford.nlp.optimization | Stanford Parser | |
StochasticMinimizer | Stochastic Gradient Descent Minimizer. | Class | edu.stanford.nlp.optimization | Stanford Parser |
AbstractCachingDiffFloatFunction | Class | edu.stanford.nlp.optimization | JavaNlp | |
AbstractCachingDiffFunction | Class | edu.stanford.nlp.optimization | JavaNlp | |
AbstractStochasticCachingDiffFunction | Class | edu.stanford.nlp.optimization | JavaNlp | |
AbstractStochasticCachingDiffFunction .SamplingMethod | Returns the enum constant of this type | Class | edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction | JavaNlp |
AbstractStochasticCachingDiffUpdateFunction | Function for stochastic calculations that does update in place (instead of maintaining and returning the derivative). | Class | edu.stanford.nlp.optimization | JavaNlp |
CGMinimizer | Conjugate-gradient implementation based on the code in Numerical Recipes in C. | Class | edu.stanford.nlp.optimization | JavaNlp |
CmdEvaluator | Class | edu.stanford.nlp.optimization | JavaNlp | |
DiffFloatFunction | An interface for once-differentiable double-valued functions over double arrays. | Interface | edu.stanford.nlp.optimization | JavaNlp |
DiffFunction | An interface for once-differentiable double-valued functions over double arrays. | Interface | edu.stanford.nlp.optimization | JavaNlp |
Evaluator | Interface | edu.stanford.nlp.optimization | JavaNlp | |
FloatFunction | An interface for double-valued functions over double arrays. | Interface | edu.stanford.nlp.optimization | JavaNlp |
Function | An interface for double-valued functions over double arrays. | Interface | edu.stanford.nlp.optimization | JavaNlp |
GoldenSectionLineSearch | A class to do golden section line search. | Class | edu.stanford.nlp.optimization | JavaNlp |
HasEvaluators | Interface | edu.stanford.nlp.optimization | JavaNlp | |
HasFeatureGrouping | Interface | edu.stanford.nlp.optimization | JavaNlp | |
HasFloatInitial | Indicates that a function has a method for supplying an intitial value. | Interface | edu.stanford.nlp.optimization | JavaNlp |
HasInitial | Indicates that a function has a method for supplying an intitial value. | Interface | edu.stanford.nlp.optimization | JavaNlp |
HasRegularizerParamRange | Indicates that a Function should only be regularized on a subsetgetRegularizerParamRange | Interface | edu.stanford.nlp.optimization | JavaNlp |
HybridMinimizer | Hybrid Minimizer is set up as a combination of two minimizers. | Class | edu.stanford.nlp.optimization | JavaNlp |
InefficientSGDMinimizer | Stochastic Gradient Descent Minimizer. | Class | edu.stanford.nlp.optimization | JavaNlp |
LineSearcher | The interface for one variable function minimizers. | Interface | edu.stanford.nlp.optimization | JavaNlp |
MemoryEvaluator | Class | edu.stanford.nlp.optimization | JavaNlp | |
Minimizer | The interface for unconstrained function minimizers. | Interface | edu.stanford.nlp.optimization | JavaNlp |
QNMinimizer | An implementation of L-BFGS for Quasi Newton unconstrained minimization. | Class | edu.stanford.nlp.optimization | JavaNlp |
QNMinimizer .eLineSearch | Returns the enum constant of this type with the specified name. | Class | edu.stanford.nlp.optimization.QNMinimizer | JavaNlp |
QNMinimizer .eScaling | Returns the enum constant of this type with the specified name. | Class | edu.stanford.nlp.optimization.QNMinimizer | JavaNlp |
QNMinimizer .eState | Returns the enum constant of this type with the specified name. | Class | edu.stanford.nlp.optimization.QNMinimizer | JavaNlp |
QNMinimizer .SurpriseConvergence | Class | edu.stanford.nlp.optimization.QNMinimizer | JavaNlp | |
ResultStoringFloatMonitor | Class | edu.stanford.nlp.optimization | JavaNlp | |
ResultStoringMonitor | Class | edu.stanford.nlp.optimization | JavaNlp | |
ScaledSGDMinimizer | Stochastic Gradient Descent To Quasi Newton Minimizer. | Class | edu.stanford.nlp.optimization | JavaNlp |
ScaledSGDMinimizer .Weights | Class | edu.stanford.nlp.optimization.ScaledSGDMinimizer | JavaNlp | |
SGDMinimizer | In place Stochastic Gradient Descent Minimizer. | Class | edu.stanford.nlp.optimization | JavaNlp |
SGDToQNMinimizer | Stochastic Gradient Descent To Quasi Newton Minimizer An experimental minimizer which takes a stochastic function (one implementing AbstractStochasticCachingDiffFunction) | Class | edu.stanford.nlp.optimization | JavaNlp |
SGDWithAdaGradAndFOBOS | Stochastic Gradient Descent With AdaGrad and FOBOS in batch mode. | Class | edu.stanford.nlp.optimization | JavaNlp |
SGDWithAdaGradAndFOBOS .Prior | Returns the enum constant of this type with the specified name. | Class | edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS | JavaNlp |
SMDMinimizer | Stochastic Meta Descent Minimizer based on Accelerated training of conditional random fields with stochastic gradient methods | Class | edu.stanford.nlp.optimization | JavaNlp |
SQNMinimizer | Online Limited-Memory Quasi-Newton BFGS implementation based on the algorithms in Nocedal, Jorge, and Stephen J. | Class | edu.stanford.nlp.optimization | JavaNlp |
StochasticCalculateMethods | enum StochasticCalculateMethodsThis enumeratin was created to organize the selection of different methods for stochastic | Class | edu.stanford.nlp.optimization | JavaNlp |
StochasticDiffFunctionTester | Class | edu.stanford.nlp.optimization | JavaNlp | |
StochasticMinimizer | Stochastic Gradient Descent Minimizer. | Class | edu.stanford.nlp.optimization | JavaNlp |
StochasticMinimizer .PropertySetter | Interface | edu.stanford.nlp.optimization.StochasticMinimizer | JavaNlp | |