Package net.algart.executors.modules.opencv.matrices.ml.training

Class MLTrainSVM

java.lang.Object
net.algart.json.PropertyChecker
net.algart.executors.api.ExecutionBlock
net.algart.executors.api.Executor
net.algart.executors.modules.opencv.common.OpenCVExecutor
net.algart.executors.modules.opencv.matrices.ml.AbstractMLOperation
net.algart.executors.modules.opencv.matrices.ml.AbstractMLTrain
net.algart.executors.modules.opencv.matrices.ml.training.MLTrainSVM
All Implemented Interfaces:
AutoCloseable
public final class MLTrainSVM extends AbstractMLTrain

  • Field Details

  • Method Details

    • newTrainNumbers

      public static MLTrainSVM newTrainNumbers()

    • newTrainPixels

      public static MLTrainSVM newTrainPixels()

    • getSvmType

      public MLTrainSVM.SVMType getSvmType()

    • setSvmType

      public MLTrainSVM setSvmType(MLTrainSVM.SVMType svmType)

    • getKernelType

      public MLTrainSVM.KernelType getKernelType()

    • setKernelType

      public MLTrainSVM setKernelType(MLTrainSVM.KernelType kernelType)

    • getC

      public double getC()

    • setC

      public MLTrainSVM setC(double c)

    • getGamma

      public double getGamma()

    • setGamma

      public MLTrainSVM setGamma(double gamma)

    • getP

      public double getP()

    • setP

      public MLTrainSVM setP(double p)

    • getNu

      public double getNu()

    • setNu

      public MLTrainSVM setNu(double nu)

    • getCoef

      public double getCoef()

    • setCoef

      public MLTrainSVM setCoef(double coef)

    • getDegree

      public double getDegree()

    • setDegree

      public MLTrainSVM setDegree(double degree)

    • getTerminationMaxCount

      public int getTerminationMaxCount()

    • setTerminationMaxCount

      public MLTrainSVM setTerminationMaxCount(int terminationMaxCount)

    • getTerminationEpsilon

      public double getTerminationEpsilon()

    • setTerminationEpsilon

      public MLTrainSVM setTerminationEpsilon(double terminationEpsilon)

    • isAutoTraining

      public boolean isAutoTraining()

    • setAutoTraining

      public MLTrainSVM setAutoTraining(boolean autoTraining)

    • getKFold

      public int getKFold()

    • setKFold

      public MLTrainSVM setKFold(int kFold)

    • isCGridCustom

      public boolean isCGridCustom()

    • setCGridCustom

      public MLTrainSVM setCGridCustom(boolean cGridCustom)

    • getCGridMin

      public double getCGridMin()

    • setCGridMin

      public MLTrainSVM setCGridMin(double cGridMin)

    • getCGridMax

      public double getCGridMax()

    • setCGridMax

      public MLTrainSVM setCGridMax(double cGridMax)

    • getCGridLogStep

      public double getCGridLogStep()

    • setCGridLogStep

      public MLTrainSVM setCGridLogStep(double cGridLogStep)

    • isGammaGridCustom

      public boolean isGammaGridCustom()

    • setGammaGridCustom

      public MLTrainSVM setGammaGridCustom(boolean gammaGridCustom)

    • getGammaGridMin

      public double getGammaGridMin()

    • setGammaGridMin

      public MLTrainSVM setGammaGridMin(double gammaGridMin)

    • getGammaGridMax

      public double getGammaGridMax()

    • setGammaGridMax

      public MLTrainSVM setGammaGridMax(double gammaGridMax)

    • getGammaGridLogStep

      public double getGammaGridLogStep()

    • setGammaGridLogStep

      public MLTrainSVM setGammaGridLogStep(double gammaGridLogStep)

    • isPGridCustom

      public boolean isPGridCustom()

    • setPGridCustom

      public MLTrainSVM setPGridCustom(boolean pGridCustom)

    • getPGridMin

      public double getPGridMin()

    • setPGridMin

      public MLTrainSVM setPGridMin(double pGridMin)

    • getPGridMax

      public double getPGridMax()

    • setPGridMax

      public MLTrainSVM setPGridMax(double pGridMax)

    • getPGridLogStep

      public double getPGridLogStep()

    • setPGridLogStep

      public MLTrainSVM setPGridLogStep(double pGridLogStep)

    • isNuGridCustom

      public boolean isNuGridCustom()

    • setNuGridCustom

      public MLTrainSVM setNuGridCustom(boolean nuGridCustom)

    • getNuGridMin

      public double getNuGridMin()

    • setNuGridMin

      public MLTrainSVM setNuGridMin(double nuGridMin)

    • getNuGridMax

      public double getNuGridMax()

    • setNuGridMax

      public MLTrainSVM setNuGridMax(double nuGridMax)

    • getNuGridLogStep

      public double getNuGridLogStep()

    • setNuGridLogStep

      public MLTrainSVM setNuGridLogStep(double nuGridLogStep)

    • isCoefGridCustom

      public boolean isCoefGridCustom()

    • setCoefGridCustom

      public MLTrainSVM setCoefGridCustom(boolean coefGridCustom)

    • getCoefGridMin

      public double getCoefGridMin()

    • setCoefGridMin

      public MLTrainSVM setCoefGridMin(double coefGridMin)

    • getCoefGridMax

      public double getCoefGridMax()

    • setCoefGridMax

      public MLTrainSVM setCoefGridMax(double coefGridMax)

    • getCoefGridLogStep

      public double getCoefGridLogStep()

    • setCoefGridLogStep

      public MLTrainSVM setCoefGridLogStep(double coefGridLogStep)

    • isDegreeGridCustom

      public boolean isDegreeGridCustom()

    • setDegreeGridCustom

      public MLTrainSVM setDegreeGridCustom(boolean degreeGridCustom)

    • getDegreeGridMin

      public double getDegreeGridMin()

    • setDegreeGridMin

      public MLTrainSVM setDegreeGridMin(double degreeGridMin)

    • getDegreeGridMax

      public double getDegreeGridMax()

    • setDegreeGridMax

      public MLTrainSVM setDegreeGridMax(double degreeGridMax)

    • getDegreeGridLogStep

      public double getDegreeGridLogStep()

    • setDegreeGridLogStep

      public MLTrainSVM setDegreeGridLogStep(double degreeGridLogStep)

    • isBalanced

      public boolean isBalanced()

    • setBalanced

      public MLTrainSVM setBalanced(boolean balanced)

    • process

      public void process()
      Specified by:
      process in class net.algart.executors.api.Executor

    • toString

      public static String toString(org.bytedeco.opencv.opencv_ml.SVM model)

    • modelKind

      protected MLKind modelKind()
      Specified by:
      modelKind in class AbstractMLTrain

    • categoricalResponses

      protected boolean categoricalResponses()
      Specified by:
      categoricalResponses in class AbstractMLTrain

    • doTrain

      protected void doTrain(MLTrainer trainer, org.bytedeco.opencv.opencv_ml.TrainData trainData, int sampleLength, int responseLength)
      Overrides:
      doTrain in class AbstractMLTrain