Package pulse.search.statistics
Class OptimiserStatistic
- java.lang.Object
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- pulse.util.UpwardsNavigable
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- pulse.util.Group
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- pulse.util.Accessible
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- pulse.util.PropertyHolder
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- pulse.search.statistics.Statistic
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- pulse.search.statistics.ResidualStatistic
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- pulse.search.statistics.OptimiserStatistic
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- All Implemented Interfaces:
Serializable
,Descriptive
,Reflexive
- Direct Known Subclasses:
AbsoluteDeviations
,SumOfSquares
public abstract class OptimiserStatistic extends ResidualStatistic
An Optimiser statistic is simply the objective function that is calculated by the Optimiser.- See Also:
- Serialized Form
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Constructor Summary
Constructors Modifier Constructor Description protected
OptimiserStatistic()
OptimiserStatistic(OptimiserStatistic stat)
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Method Summary
All Methods Static Methods Instance Methods Abstract Methods Concrete Methods Modifier and Type Method Description abstract OptimiserStatistic
copy()
static String
getSelectedOptimiserDescriptor()
static void
setSelectedOptimiserDescriptor(String selectedTestDescriptor)
abstract double
variance()
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Methods inherited from class pulse.search.statistics.ResidualStatistic
calculateResiduals, calculateResiduals, calculateResiduals, equals, getResiduals, getStatistic, getTimeSequence, hashCode, residualsArray, set, setStatistic
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Methods inherited from class pulse.util.PropertyHolder
addListener, areDetailsHidden, data, describe, firePropertyChanged, getDescriptor, getListeners, getPrefix, ignoreSiblings, initListeners, isListedNumericType, isListedParameter, listedKeywords, listedTypes, numericData, parameterListChanged, removeListeners, setPrefix, updateProperties, updateProperty
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Methods inherited from class pulse.util.Accessible
accessibleChildren, genericProperties, genericProperty, numericProperties, numericProperty, property, update, update
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Methods inherited from class pulse.util.UpwardsNavigable
addHierarchyListener, getHierarchyListeners, getParent, identify, removeHierarchyListener, removeHierarchyListeners, setParent, specificAncestor, tellParent
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Constructor Detail
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OptimiserStatistic
public OptimiserStatistic(OptimiserStatistic stat)
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OptimiserStatistic
protected OptimiserStatistic()
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Method Detail
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getSelectedOptimiserDescriptor
public static String getSelectedOptimiserDescriptor()
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setSelectedOptimiserDescriptor
public static void setSelectedOptimiserDescriptor(String selectedTestDescriptor)
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copy
public abstract OptimiserStatistic copy()
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variance
public abstract double variance()
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