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java.lang.Objectde.jstacs.algorithms.optimization.DifferentiableFunction
de.jstacs.classifier.scoringFunctionBased.OptimizableFunction
public abstract class OptimizableFunction
This is the main function for the ScoreClassifier.
Optimizer
Constructor Summary | |
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OptimizableFunction()
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Method Summary | |
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abstract double[] |
getClassParams(double[] params)
Returns from the complete vector of parameters those that are for the classes. |
abstract int |
getNumberOfStarts()
Returns the number of starts that should be done for a good optimum. |
abstract double[] |
getStartParams(boolean plugIn)
Returns some start parameters. |
abstract void |
reset(ScoringFunction[] score)
Resets the scoringFunctions and all precomputed values. |
abstract void |
setParams(double[] current)
Sets the current values as parameters |
Methods inherited from class de.jstacs.algorithms.optimization.DifferentiableFunction |
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evaluateGradientOfFunction, findOneDimensionalMin |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Methods inherited from interface de.jstacs.algorithms.optimization.Function |
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evaluateFunction, getDimensionOfScope |
Constructor Detail |
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public OptimizableFunction()
Method Detail |
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public abstract int getNumberOfStarts()
Optimizer
public abstract double[] getClassParams(double[] params)
params
- the current params
public abstract double[] getStartParams(boolean plugIn) throws Exception
plugIn
- if some special parameters should be used as plug in parameter (e.g. MAP-parameters)
Exception
- if something went wrongpublic abstract void setParams(double[] current) throws DimensionException
current
- the current values
DimensionException
- if the dimension of the current values does not match with the internal parameterspublic abstract void reset(ScoringFunction[] score) throws Exception
score
- the array of scoringFunctions
Exception
- if something went wrong
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