sklearn2pmml.ensemble

Class Link

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

sklearn2pmml.ensemble.Link

All Implemented Interfaces:

Serializable, Cloneable, Map<String,Object>, HasClasses, HasEstimator<Estimator>, HasNumberOfFeatures, HasNumberOfOutputs, HasType, HasPMMLOptions<Estimator>, HasPMMLSegmentId<Estimator>

public class Link
extends Estimator
implements HasClasses, HasEstimator<Estimator>

See Also:

Serialized Form

Nested Class Summary

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

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

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

Map.Entry<K,V>

Field Summary

Fields inherited from class sklearn.Estimator

FIELD_APPLY, FIELD_DECISION_FUNCTION, FIELD_PREDICT

Fields inherited from interface sklearn.HasNumberOfOutputs

UNKNOWN

Fields inherited from interface sklearn.HasNumberOfFeatures

UNKNOWN

Constructor Summary

Constructors

Constructor and Description
Link(String module, String name)

Method Summary

Modifier and Type	Method and Description
org.jpmml.converter.Schema	augmentSchema(org.dmg.pmml.Model model, org.jpmml.converter.Schema schema)
void	checkFeatures(List<? extends org.jpmml.converter.Feature> features)
void	checkLabel(org.jpmml.converter.Label label)
org.dmg.pmml.Model	configureModel(org.dmg.pmml.Model model)
org.jpmml.converter.Schema	configureSchema(org.jpmml.converter.Schema schema)
org.jpmml.converter.Label	encodeLabel(List<String> names, SkLearnEncoder encoder)
org.dmg.pmml.Model	encodeModel(org.jpmml.converter.Schema schema)
String	getAlgorithmName()
List<String>	getAugmentFuncs()
List<?>	getClasses()
Estimator	getEstimator()
org.dmg.pmml.MiningFunction	getMiningFunction()
boolean	hasProbabilityDistribution()
boolean	isSupervised()

Methods inherited from class sklearn.Estimator

addFeatureImportances, createApplyField, createMultiApplyField, createPredictProbaFields, encode, encode, encodeApplyOutput, encodeMultiApplyOutput, extractArguments, getDataType, getFeatureImportances, getNumberOfFeatures, getNumberOfOutputs, getOption, getOpType, getPMMLCustomizations, getPMMLFeatureImportances, getPMMLOptions, getPMMLSegmentId, hasFeatureImportances, putOption, putOptions, setPMMLCustomizations, setPMMLFeatureImportances, setPMMLOptions, setPMMLSegmentId

Methods inherited from class sklearn.Step

checkSkLearnVersion, checkVersion, getFeatureNamesIn, getPMMLName, getSkLearnVersion, setPMMLName

Methods inherited from class org.jpmml.python.PythonObject

containsKey, delattr, get, get, getArray, getArray, getArray, getArrayList, getArrayList, getArrayShape, getArrayShape, getattr, getattr, getBoolean, getBooleanArray, getClassName, getDict, getEnum, getEnumList, getIdentifiable, getInteger, getIntegerArray, getList, getList, getListLike, getListLike, getNumber, getNumberArray, getObject, getObjectArray, getObjectList, getOptional, getOptionalBoolean, getOptionalBoolean, getOptionalDict, getOptionalEnum, getOptionalIdentifiable, getOptionalInteger, getOptionalNumber, getOptionalObject, getOptionalScalar, getOptionalString, getOptionalTuple, getPythonModule, getPythonName, getScalar, getString, getStringArray, getStringList, getTuple, getTupleList, hasattr, put, putAll, remove, setattr, setClassName, update

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

__setstate__

Methods inherited from class java.util.HashMap

clear, clone, compute, computeIfAbsent, computeIfPresent, containsValue, entrySet, forEach, getOrDefault, isEmpty, keySet, merge, putIfAbsent, 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 java.util.Map

equals, hashCode

Constructor Detail

Link

public Link(String module,
            String name)

Method Detail

getMiningFunction

public org.dmg.pmml.MiningFunction getMiningFunction()

Specified by:

getMiningFunction in class Estimator

isSupervised

public boolean isSupervised()

Specified by:

isSupervised in class Estimator

getClasses

public List<?> getClasses()

Specified by:

getClasses in interface HasClasses

hasProbabilityDistribution

public boolean hasProbabilityDistribution()

Specified by:

hasProbabilityDistribution in interface HasClasses

getAlgorithmName

public String getAlgorithmName()

Overrides:

getAlgorithmName in class Estimator

encodeLabel

public org.jpmml.converter.Label encodeLabel(List<String> names,
                                             SkLearnEncoder encoder)

Specified by:

encodeLabel in class Estimator

encodeModel

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

Specified by:

encodeModel in class Estimator

configureSchema

public org.jpmml.converter.Schema configureSchema(org.jpmml.converter.Schema schema)

Overrides:

configureSchema in class Estimator

configureModel

public org.dmg.pmml.Model configureModel(org.dmg.pmml.Model model)

Overrides:

configureModel in class Estimator

checkLabel

public void checkLabel(org.jpmml.converter.Label label)

Overrides:

checkLabel in class Estimator

checkFeatures

public void checkFeatures(List<? extends org.jpmml.converter.Feature> features)

Overrides:

checkFeatures in class Estimator

augmentSchema

public org.jpmml.converter.Schema augmentSchema(org.dmg.pmml.Model model,
                                                org.jpmml.converter.Schema schema)

getAugmentFuncs

public List<String> getAugmentFuncs()

getEstimator

public Estimator getEstimator()

Specified by:

getEstimator in interface HasEstimator<Estimator>