sklearn.svm

Class BaseLibSVMClassifier

java.lang.Object

java.util.AbstractMap<K,V>

java.util.HashMap<String,Object>

net.razorvine.pickle.objects.ClassDict

sklearn.BaseEstimator

sklearn.Estimator

sklearn.Classifier

sklearn.svm.BaseLibSVMClassifier

All Implemented Interfaces:

Serializable, Cloneable, Map<String,Object>

Direct Known Subclasses:

NuSVC, SVC

public abstract class BaseLibSVMClassifier
extends Classifier

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class java.util.AbstractMap

AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>

Constructor Summary

Constructors

Constructor and Description
BaseLibSVMClassifier(String module, String name)

Method Summary

Methods

Modifier and Type	Method and Description
org.dmg.pmml.support_vector_machine.SupportVectorMachineModel	encodeModel(org.jpmml.converter.Schema schema)
Double	getCoef0()
Integer	getDegree()
List<? extends Number>	getDualCoef()
Double	getGamma()
List<? extends Number>	getIntercept()
String	getKernel()
int	getNumberOfFeatures()
List<Integer>	getSupport()
List<Integer>	getSupportSizes()
List<? extends Number>	getSupportVectors()
boolean	hasProbabilityDistribution()
boolean	requiresContinuousInput()

Methods inherited from class sklearn.Classifier

createSchema, getClasses

Methods inherited from class sklearn.Estimator

createActiveFields, createTargetField, encodeDefineFunctions, getDataType, getOpType

Methods inherited from class net.razorvine.pickle.objects.ClassDict

__setstate__, getClassName

Methods inherited from class java.util.HashMap

clear, clone, containsKey, containsValue, entrySet, get, isEmpty, keySet, put, putAll, remove, size, values

Methods inherited from class java.util.AbstractMap

equals, hashCode, toString

Methods inherited from class java.lang.Object

finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.util.Map

equals, hashCode

Constructor Detail

BaseLibSVMClassifier

public BaseLibSVMClassifier(String module,
                    String name)

Method Detail

getNumberOfFeatures

public int getNumberOfFeatures()

Overrides:

getNumberOfFeatures in class Estimator

requiresContinuousInput

public boolean requiresContinuousInput()

Overrides:

requiresContinuousInput in class Estimator

hasProbabilityDistribution

public boolean hasProbabilityDistribution()

Overrides:

hasProbabilityDistribution in class Classifier

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 Double getGamma()

getCoef0

public Double getCoef0()

getSupport

public List<Integer> getSupport()

getSupportVectors

public List<? extends Number> getSupportVectors()

getSupportSizes

public List<Integer> getSupportSizes()

getDualCoef

public List<? extends Number> getDualCoef()

getIntercept

public List<? extends Number> getIntercept()