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#Edu.stanford.nlp.optimization Classes and Interfaces - 82 results found.
NameDescriptionTypePackageFramework
AbstractCachingDiffFloatFunctionClassedu.stanford.nlp.optimizationStanford Parser
AbstractCachingDiffFunctionClassedu.stanford.nlp.optimizationStanford Parser
AbstractStochasticCachingDiffFunctionClassedu.stanford.nlp.optimizationStanford Parser
AbstractStochasticCachingDiffFunction .SamplingMethodReturns the enum constant of this type Classedu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunctionStanford Parser
AbstractStochasticCachingDiffUpdateFunctionFunction for stochastic calculations that does update in place (instead of maintaining and returning the derivative).Classedu.stanford.nlp.optimizationStanford Parser
CGMinimizerConjugate-gradient implementation based on the code in Numerical Recipes in C.Classedu.stanford.nlp.optimizationStanford Parser
CmdEvaluatorClassedu.stanford.nlp.optimizationStanford Parser
DiffFloatFunctionAn interface for once-differentiable double-valued functions over double arrays.Interfaceedu.stanford.nlp.optimizationStanford Parser
DiffFunctionAn interface for once-differentiable double-valued functions over double arrays.Interfaceedu.stanford.nlp.optimizationStanford Parser
FloatFunctionAn interface for double-valued functions over double arrays.Interfaceedu.stanford.nlp.optimizationStanford Parser
FunctionAn interface for double-valued functions over double arrays.Interfaceedu.stanford.nlp.optimizationStanford Parser
GoldenSectionLineSearchA class to do golden section line search.Classedu.stanford.nlp.optimizationStanford Parser
HasEvaluatorsInterfaceedu.stanford.nlp.optimizationStanford Parser
HasFeatureGroupingInterfaceedu.stanford.nlp.optimizationStanford Parser
HasFloatInitialIndicates that a function has a method for supplying an intitial value.Interfaceedu.stanford.nlp.optimizationStanford Parser
HasInitialIndicates that a function has a method for supplying an intitial value.Interfaceedu.stanford.nlp.optimizationStanford Parser
HasRegularizerParamRangeIndicates that a Function should only be regularized on a subsetgetRegularizerParamRangeInterfaceedu.stanford.nlp.optimizationStanford Parser
HybridMinimizerHybrid Minimizer is set up as a combination of two minimizers.Classedu.stanford.nlp.optimizationStanford Parser
InefficientSGDMinimizerStochastic Gradient Descent Minimizer.Classedu.stanford.nlp.optimizationStanford Parser
LineSearcherThe interface for one variable function minimizers.Interfaceedu.stanford.nlp.optimizationStanford Parser
MemoryEvaluatorClassedu.stanford.nlp.optimizationStanford Parser
MinimizerThe interface for unconstrained function minimizers.Interfaceedu.stanford.nlp.optimizationStanford Parser
QNMinimizerAn implementation of L-BFGS for Quasi Newton unconstrained minimization.Classedu.stanford.nlp.optimizationStanford Parser
QNMinimizer .eLineSearchReturns the enum constant of this type with the specified name.Classedu.stanford.nlp.optimization.QNMinimizerStanford Parser
QNMinimizer .eScalingReturns the enum constant of this type with the specified name.Classedu.stanford.nlp.optimization.QNMinimizerStanford Parser
QNMinimizer .eStateReturns the enum constant of this type with the specified name.Classedu.stanford.nlp.optimization.QNMinimizerStanford Parser
QNMinimizer .SurpriseConvergenceClassedu.stanford.nlp.optimization.QNMinimizerStanford Parser
ResultStoringFloatMonitorClassedu.stanford.nlp.optimizationStanford Parser
ResultStoringMonitorClassedu.stanford.nlp.optimizationStanford Parser
ScaledSGDMinimizerStochastic Gradient Descent To Quasi Newton Minimizer.Classedu.stanford.nlp.optimizationStanford Parser
ScaledSGDMinimizer .WeightsClassedu.stanford.nlp.optimization.ScaledSGDMinimizerStanford Parser
SGDMinimizerIn place Stochastic Gradient Descent Minimizer.Classedu.stanford.nlp.optimizationStanford Parser
SGDToQNMinimizerStochastic Gradient Descent To Quasi Newton Minimizer An experimental minimizer which takes a stochastic function (one implementing AbstractStochasticCachingDiffFunction)Classedu.stanford.nlp.optimizationStanford Parser
SGDWithAdaGradAndFOBOSStochastic Gradient Descent With AdaGrad and FOBOS in batch mode.Classedu.stanford.nlp.optimizationStanford Parser
SGDWithAdaGradAndFOBOS .PriorReturns the enum constant of this type with the specified name.Classedu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOSStanford Parser
SMDMinimizer Stochastic Meta Descent Minimizer based on Accelerated training of conditional random fields with stochastic gradient methodsClassedu.stanford.nlp.optimizationStanford Parser
SQNMinimizerOnline Limited-Memory Quasi-Newton BFGS implementation based on the algorithms in Nocedal, Jorge, and Stephen J.Classedu.stanford.nlp.optimizationStanford Parser
StochasticCalculateMethodsenum StochasticCalculateMethodsThis enumeratin was created to organize the selection of different methods for stochasticClassedu.stanford.nlp.optimizationStanford Parser
StochasticDiffFunctionTesterClassedu.stanford.nlp.optimizationStanford Parser
StochasticMinimizerStochastic Gradient Descent Minimizer.Classedu.stanford.nlp.optimizationStanford Parser
AbstractCachingDiffFloatFunctionClassedu.stanford.nlp.optimizationJavaNlp
AbstractCachingDiffFunctionClassedu.stanford.nlp.optimizationJavaNlp
AbstractStochasticCachingDiffFunctionClassedu.stanford.nlp.optimizationJavaNlp
AbstractStochasticCachingDiffFunction .SamplingMethodReturns the enum constant of this type Classedu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunctionJavaNlp
AbstractStochasticCachingDiffUpdateFunctionFunction for stochastic calculations that does update in place (instead of maintaining and returning the derivative).Classedu.stanford.nlp.optimizationJavaNlp
CGMinimizerConjugate-gradient implementation based on the code in Numerical Recipes in C.Classedu.stanford.nlp.optimizationJavaNlp
CmdEvaluatorClassedu.stanford.nlp.optimizationJavaNlp
DiffFloatFunctionAn interface for once-differentiable double-valued functions over double arrays.Interfaceedu.stanford.nlp.optimizationJavaNlp
DiffFunctionAn interface for once-differentiable double-valued functions over double arrays.Interfaceedu.stanford.nlp.optimizationJavaNlp
EvaluatorInterfaceedu.stanford.nlp.optimizationJavaNlp
FloatFunctionAn interface for double-valued functions over double arrays.Interfaceedu.stanford.nlp.optimizationJavaNlp
FunctionAn interface for double-valued functions over double arrays.Interfaceedu.stanford.nlp.optimizationJavaNlp
GoldenSectionLineSearchA class to do golden section line search.Classedu.stanford.nlp.optimizationJavaNlp
HasEvaluatorsInterfaceedu.stanford.nlp.optimizationJavaNlp
HasFeatureGroupingInterfaceedu.stanford.nlp.optimizationJavaNlp
HasFloatInitialIndicates that a function has a method for supplying an intitial value.Interfaceedu.stanford.nlp.optimizationJavaNlp
HasInitialIndicates that a function has a method for supplying an intitial value.Interfaceedu.stanford.nlp.optimizationJavaNlp
HasRegularizerParamRangeIndicates that a Function should only be regularized on a subsetgetRegularizerParamRangeInterfaceedu.stanford.nlp.optimizationJavaNlp
HybridMinimizerHybrid Minimizer is set up as a combination of two minimizers.Classedu.stanford.nlp.optimizationJavaNlp
InefficientSGDMinimizerStochastic Gradient Descent Minimizer.Classedu.stanford.nlp.optimizationJavaNlp
LineSearcherThe interface for one variable function minimizers.Interfaceedu.stanford.nlp.optimizationJavaNlp
MemoryEvaluatorClassedu.stanford.nlp.optimizationJavaNlp
MinimizerThe interface for unconstrained function minimizers.Interfaceedu.stanford.nlp.optimizationJavaNlp
QNMinimizerAn implementation of L-BFGS for Quasi Newton unconstrained minimization.Classedu.stanford.nlp.optimizationJavaNlp
QNMinimizer .eLineSearchReturns the enum constant of this type with the specified name.Classedu.stanford.nlp.optimization.QNMinimizerJavaNlp
QNMinimizer .eScalingReturns the enum constant of this type with the specified name.Classedu.stanford.nlp.optimization.QNMinimizerJavaNlp
QNMinimizer .eStateReturns the enum constant of this type with the specified name.Classedu.stanford.nlp.optimization.QNMinimizerJavaNlp
QNMinimizer .SurpriseConvergenceClassedu.stanford.nlp.optimization.QNMinimizerJavaNlp
ResultStoringFloatMonitorClassedu.stanford.nlp.optimizationJavaNlp
ResultStoringMonitorClassedu.stanford.nlp.optimizationJavaNlp
ScaledSGDMinimizerStochastic Gradient Descent To Quasi Newton Minimizer.Classedu.stanford.nlp.optimizationJavaNlp
ScaledSGDMinimizer .WeightsClassedu.stanford.nlp.optimization.ScaledSGDMinimizerJavaNlp
SGDMinimizerIn place Stochastic Gradient Descent Minimizer.Classedu.stanford.nlp.optimizationJavaNlp
SGDToQNMinimizerStochastic Gradient Descent To Quasi Newton Minimizer An experimental minimizer which takes a stochastic function (one implementing AbstractStochasticCachingDiffFunction)Classedu.stanford.nlp.optimizationJavaNlp
SGDWithAdaGradAndFOBOSStochastic Gradient Descent With AdaGrad and FOBOS in batch mode.Classedu.stanford.nlp.optimizationJavaNlp
SGDWithAdaGradAndFOBOS .PriorReturns the enum constant of this type with the specified name.Classedu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOSJavaNlp
SMDMinimizer Stochastic Meta Descent Minimizer based on Accelerated training of conditional random fields with stochastic gradient methodsClassedu.stanford.nlp.optimizationJavaNlp
SQNMinimizerOnline Limited-Memory Quasi-Newton BFGS implementation based on the algorithms in Nocedal, Jorge, and Stephen J.Classedu.stanford.nlp.optimizationJavaNlp
StochasticCalculateMethodsenum StochasticCalculateMethodsThis enumeratin was created to organize the selection of different methods for stochasticClassedu.stanford.nlp.optimizationJavaNlp
StochasticDiffFunctionTesterClassedu.stanford.nlp.optimizationJavaNlp
StochasticMinimizerStochastic Gradient Descent Minimizer.Classedu.stanford.nlp.optimizationJavaNlp
StochasticMinimizer .PropertySetterInterfaceedu.stanford.nlp.optimization.StochasticMinimizerJavaNlp