Package sklearn.svm

Class LibSVMRegressor

java.lang.Object
java.util.AbstractMap<K,V>
java.util.HashMap<String,Object>
net.razorvine.pickle.objects.ClassDict
org.jpmml.python.PythonObject
sklearn.Step
sklearn.Estimator
sklearn.Regressor
sklearn.svm.LibSVMRegressor
All Implemented Interfaces:
Serializable, Cloneable, Map<String,Object>, HasNumberOfFeatures, HasType
Direct Known Subclasses:
OneClassSVM

public class LibSVMRegressor extends Regressor
See Also:
  • Constructor Details

    • LibSVMRegressor

      public LibSVMRegressor(String module, String name)
  • Method Details

    • getNumberOfFeatures

      public int getNumberOfFeatures()
      Specified by:
      getNumberOfFeatures in interface HasNumberOfFeatures
      Overrides:
      getNumberOfFeatures in class Estimator
    • encodeModel

      public org.dmg.pmml.support_vector_machine.SupportVectorMachineModel encodeModel(org.jpmml.converter.Schema schema)
      Specified by:
      encodeModel in class Estimator
    • getKernel

      public String getKernel()
    • getDegree

      public Integer getDegree()
    • getGamma

      public Number getGamma()
    • getCoef0

      public Number getCoef0()
    • getSupport

      public List<Integer> getSupport()
    • getSupportVectors

      public List<? extends Number> getSupportVectors()
    • getSupportVectorsShape

      public int[] getSupportVectorsShape()
    • getDualCoef

      public List<? extends Number> getDualCoef()
    • getIntercept

      public List<? extends Number> getIntercept()