oracle.dmt.odm.settings.algorithm
Class SVMClassificationSettings

java.lang.Object
  |
  +--oracle.dmt.odm.MiningObject
        |
        +--oracle.dmt.odm.settings.algorithm.MiningAlgorithmSettings
              |
              +--oracle.dmt.odm.settings.algorithm.SupportVectorMachineSettings
                    |
                    +--oracle.dmt.odm.settings.algorithm.SVMClassificationSettings

All Implemented Interfaces:

java.io.Serializable

public class SVMClassificationSettings

extends SupportVectorMachineSettings

An instance of SVMClassificationSettings is used to specify settings for the Support Vector Machine (SVM) mining algorithm to build a classification mining model. Specifies parameters specific to classification using SVM.

Since:

10.1.0

See Also:

Serialized Form

Constructor Summary

SVMClassificationSettings()
Creates an instance of SVMClassificationSettings object with default settings: - normalization is set to minMax - kernelFunction is set to linear - tolerance float value is set to 0.001 - complexityFactor value is set to 1 - kernelCacheSize value is set to 50,000,000

SVMClassificationSettings(Normalization normalization, KernelFunction kernelFunction, float tolerance, int kernelCacheSize, java.lang.Float standardDeviation, java.lang.Float complexityFactor)
Creates an instance of SVMClassificationSettings object.

Methods inherited from class oracle.dmt.odm.settings.algorithm.SupportVectorMachineSettings

getComplexityFactor, getKernelCacheSize, getKernelFunction, getNormalization, getStandardDeviation, getTolerance, setComplexityFactor, setKernelCacheSize, setKernelFunction, setNormalization, setStandardDeviation, setTolerance

Methods inherited from class oracle.dmt.odm.settings.algorithm.MiningAlgorithmSettings

getMiningAlgorithm, getMiningAlgorithmName

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

SVMClassificationSettings

public SVMClassificationSettings(Normalization normalization,
KernelFunction kernelFunction,
                                 float tolerance,
                                 int kernelCacheSize,
                                 java.lang.Float standardDeviation,
                                 java.lang.Float complexityFactor)
                          throws InvalidArgumentException

Creates an instance of SVMClassificationSettings object.

Parameters:

normalization - value of normalization

kernelFunction - value of kernel function

tolerance - value of tolerance

standardDeviation - the standard deviation of the Gaussian kernel this field is required if kernelFunction is Gaussian. The value will be computed if null, and the computed value can be obtained from a restored model.

complexityFactor - the parameter trading off complexity for prediction loss. The value will be computed if null, and the computed value can be obtained from a restored model.

kernelCacheSize - the parameter of kernel function cache size

Throws:

InvalidArgumentException
- - normalization is null
- kernelFunction is null
- tolerance <=0
- standardDeviation <=0 and standardDeviation !=null
- complexityFactor <=0 and complexityFactor !=null

InvalidArgumentException

SVMClassificationSettings

public SVMClassificationSettings()

Creates an instance of SVMClassificationSettings object with default settings: - normalization is set to minMax - kernelFunction is set to linear - tolerance float value is set to 0.001 - complexityFactor value is set to 1 - kernelCacheSize value is set to 50,000,000

Throws:

InvalidArgumentException
- - kernelFunction is null