Package sklearn.linear_model.stochastic_gradient

Class SGDOneClassSVM

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.linear_model.stochastic_gradient.SGDOneClassSVM

All Implemented Interfaces:

Serializable, Cloneable, Map<String,Object>, HasDecisionFunctionField, HasNumberOfFeatures, HasNumberOfOutputs, HasType

public class SGDOneClassSVM
extends Regressor
implements HasDecisionFunctionField

See Also:

Serialized Form

Nested Class Summary

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

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

Nested classes/interfaces inherited from interface java.util.Map

Map.Entry<K extends Object,V extends Object>

Field Summary

Fields inherited from class sklearn.Estimator

FIELD_APPLY, FIELD_DECISION_FUNCTION, FIELD_PREDICT

Fields inherited from interface sklearn.HasNumberOfFeatures

UNKNOWN

Fields inherited from interface sklearn.HasNumberOfOutputs

UNKNOWN

Constructor Summary

Constructors

Constructor	Description
SGDOneClassSVM(String module, String name)

Method Summary

Modifier and Type	Method	Description
org.dmg.pmml.regression.RegressionModel	encodeModel(org.jpmml.converter.Schema schema)
List<? extends Number>	getCoef()
List<? extends Number>	getOffset()
boolean	isSupervised()

Methods inherited from class sklearn.Regressor

getMiningFunction

Methods inherited from class sklearn.Estimator

addFeatureImportances, checkFeatures, checkLabel, encode, getAlgorithmName, getDataType, getFeatureImportances, getNumberOfFeatures, getNumberOfOutputs, getOption, getOpType, getPMMLFeatureImportances, getPMMLOptions, getSkLearnVersion, hasFeatureImportances, putOption, putOptions, setPMMLFeatureImportances, setPMMLOptions

Methods inherited from class sklearn.Step

createFieldName, createFieldName, createFieldName, getPMMLName, setPMMLName

Methods inherited from class org.jpmml.python.PythonObject

get, getArray, getArray, getArray, getArrayShape, getArrayShape, getBoolean, getBooleanArray, getClassName, getDict, getInteger, getIntegerArray, getList, getList, getListLike, getListLike, getNumber, getNumberArray, getObject, getOptional, getOptionalBoolean, getOptionalObject, getOptionalScalar, getOptionalString, getPythonModule, getPythonName, getPythonObject, getScalar, getString, getTuple, getTupleList, setClassName

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

__setstate__

Methods inherited from class java.util.HashMap

clear, clone, compute, computeIfAbsent, computeIfPresent, containsKey, containsValue, entrySet, forEach, get, getOrDefault, isEmpty, keySet, merge, put, putAll, putIfAbsent, remove, remove, replace, replace, replaceAll, 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 sklearn.HasDecisionFunctionField

getDecisionFunctionField

Methods inherited from interface java.util.Map

equals, hashCode

Constructor Detail

SGDOneClassSVM

public SGDOneClassSVM(String module,
                      String name)

Method Detail

isSupervised

public boolean isSupervised()

Overrides:

isSupervised in class Estimator

encodeModel

public org.dmg.pmml.regression.RegressionModel encodeModel(org.jpmml.converter.Schema schema)

Specified by:

encodeModel in class Estimator

getCoef

public List<? extends Number> getCoef()

getOffset

public List<? extends Number> getOffset()