Package org.opencv.ml
Class ParamGrid
java.lang.Object
org.opencv.ml.ParamGrid
public class ParamGrid extends Object
The structure represents the logarithmic grid range of statmodel parameters.
It is used for optimizing statmodel accuracy by varying model parameters, the accuracy estimate
being computed by cross-validation.
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Field Summary
Fields Modifier and Type Field Description protected longnativeObj -
Constructor Summary
Constructors Modifier Constructor Description protectedParamGrid(long addr) -
Method Summary
Modifier and Type Method Description static ParamGrid__fromPtr__(long addr)static ParamGridcreate()Creates a ParamGrid Ptr that can be given to the %SVM::trainAuto methodstatic ParamGridcreate(double minVal)Creates a ParamGrid Ptr that can be given to the %SVM::trainAuto methodstatic ParamGridcreate(double minVal, double maxVal)Creates a ParamGrid Ptr that can be given to the %SVM::trainAuto methodstatic ParamGridcreate(double minVal, double maxVal, double logstep)Creates a ParamGrid Ptr that can be given to the %SVM::trainAuto methodprotected voidfinalize()doubleget_logStep()doubleget_maxVal()doubleget_minVal()longgetNativeObjAddr()voidset_logStep(double logStep)voidset_maxVal(double maxVal)voidset_minVal(double minVal)
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Field Details
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Constructor Details
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Method Details
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getNativeObjAddr
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__fromPtr__
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create
Creates a ParamGrid Ptr that can be given to the %SVM::trainAuto method- Parameters:
minVal- minimum value of the parameter gridmaxVal- maximum value of the parameter gridlogstep- Logarithmic step for iterating the statmodel parameter- Returns:
- automatically generated
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create
Creates a ParamGrid Ptr that can be given to the %SVM::trainAuto method- Parameters:
minVal- minimum value of the parameter gridmaxVal- maximum value of the parameter grid- Returns:
- automatically generated
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create
Creates a ParamGrid Ptr that can be given to the %SVM::trainAuto method- Parameters:
minVal- minimum value of the parameter grid- Returns:
- automatically generated
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create
Creates a ParamGrid Ptr that can be given to the %SVM::trainAuto method- Returns:
- automatically generated
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get_minVal
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set_minVal
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get_maxVal
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set_maxVal
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get_logStep
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set_logStep
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finalize
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