See: Description
Interface | Description |
---|---|
TerminationCondition |
This interface can be used in any iterative algorithm for determining the end of the algorithm.
|
Class | Description |
---|---|
AbsoluteValueCondition | Deprecated
use of the absolute value condition is not recommended and it may be removed in future releases
|
AbsoluteValueCondition.AbsoluteValueConditionParameterSet |
This class implements the parameter set for a
AbsoluteValueCondition . |
AbstractTerminationCondition |
This class is the abstract super class of many
TerminationCondition s. |
AbstractTerminationCondition.AbstractTerminationConditionParameterSet |
This class implements the super class of all parameter sets of instances from
AbstractTerminationCondition . |
CombinedCondition |
This class allows to use many
TerminationCondition s at once. |
CombinedCondition.CombinedConditionParameterSet |
This class implements the parameter set for a
CombinedCondition . |
IterationCondition |
This class will stop an optimization if the number of iteration reaches a given number.
|
IterationCondition.IterationConditionParameterSet |
This class implements the parameter set for a
IterationCondition . |
MultipleIterationsCondition |
This
TerminationCondition requires another provided TerminationCondition to fail a contiguous specified number of times
before the optimization is terminated. |
MultipleIterationsCondition.MultipleIterationsConditionParameterSet |
This class implements the parameter set for a
MultipleIterationsCondition . |
SmallDifferenceOfFunctionEvaluationsCondition |
This class implements a
TerminationCondition that stops an optimization
if the difference of the current and the last function evaluations will be small, i.e.,
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SmallDifferenceOfFunctionEvaluationsCondition.SmallDifferenceOfFunctionEvaluationsConditionParameterSet |
This class implements the parameter set for a
SmallDifferenceOfFunctionEvaluationsCondition . |
SmallGradientConditon |
This class implements a
TerminationCondition that allows no further iteration in an optimization if the
the gradient becomes small, i.e.,
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SmallGradientConditon.SmallGradientConditonParameterSet |
This class implements the parameter set for a
SmallStepCondition . |
SmallStepCondition |
This class implements a
TerminationCondition that allows no further iteration in an optimization if the
scalar product of the current and the last values of x will be small, i.e.,
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SmallStepCondition.SmallStepConditionParameterSet |
This class implements the parameter set for a
SmallStepCondition . |
TimeCondition |
This class implements a
TerminationCondition that stops the optimization if the elapsed time in seconds is
greater than a given value. |
TimeCondition.TimeConditionParameterSet |
This class implements the parameter set for a
TimeCondition . |
Optimizer
,
AbstractMixtureTrainSM
,
HigherOrderHMM