Package sklearn.ensemble.gradient_boosting

Class GradientBoostingRegressor

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.SkLearnRegressor

sklearn.ensemble.gradient_boosting.GradientBoostingRegressor

All Implemented Interfaces:

Serializable, Cloneable, Map<String,Object>, org.jpmml.converter.HasNativeConfiguration, org.jpmml.converter.HasOptions, Encodable, HasSkLearnOptions, HasEstimatorEnsemble<TreeRegressor>, HasFeatureNamesIn, HasNumberOfFeatures, HasNumberOfOutputs, HasType, HasTreeOptions, HasPMMLOptions<Estimator>, HasPMMLSegmentId<Estimator>

public class GradientBoostingRegressor
extends SkLearnRegressor
implements HasEstimatorEnsemble<TreeRegressor>, HasTreeOptions

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

Fields inherited from interface sklearn.tree.HasTreeOptions

OPTION_ALLOW_MISSING, OPTION_COMPACT, OPTION_FLAT, OPTION_INPUT_FLOAT, OPTION_NODE_EXTENSIONS, OPTION_NODE_ID, OPTION_NODE_SCORE, OPTION_NUMERIC, OPTION_PRUNE, OPTION_WINNER_ID

Constructor Summary

Constructors

Constructor	Description
GradientBoostingRegressor(String module, String name)

Method Summary

Modifier and Type	Method	Description
org.dmg.pmml.Model	configureModel(org.dmg.pmml.Model model)
org.jpmml.converter.Schema	configureSchema(org.jpmml.converter.Schema schema)
org.dmg.pmml.mining.MiningModel	encodeModel(org.jpmml.converter.Schema schema)
org.dmg.pmml.DataType	getDataType()
List<TreeRegressor>	getEstimators()
HasDefaultValue	getInit()
Number	getLearningRate()
int	getNumberOfFeatures()

Methods inherited from class sklearn.SkLearnRegressor

encodePMML

Methods inherited from class sklearn.Regressor

encodeLabel, getMiningFunction, getNumberOfOutputs, isSupervised

Methods inherited from class sklearn.Estimator

addFeatureImportances, checkFeatures, checkLabel, createApplyField, createMultiApplyField, createPredictProbaFields, encode, encode, encodeApplyOutput, encodeMultiApplyOutput, getAlgorithmName, getClassifierTags, getFeatureImportances, getOption, getOpType, getPMMLCustomizations, getPMMLFeatureImportances, getPMMLOptions, getPMMLSegmentId, getRegressorTags, getTargetTags, hasFeatureImportances, putOption, putOptions, setPMMLCustomizations, setPMMLFeatureImportances, setPMMLOptions, setPMMLSegmentId

Methods inherited from class sklearn.Step

checkSkLearnVersion, checkVersion, getFeatureNamesIn, getInputTags, getPMMLName, getSkLearnTags, 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

getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface sklearn.HasFeatureNamesIn

getFeatureNamesIn

Methods inherited from interface sklearn.tree.HasTreeOptions

getNativeConfiguration

Methods inherited from interface java.util.Map

equals, hashCode

Constructor Detail

GradientBoostingRegressor

public GradientBoostingRegressor(String module,
                                 String name)

Method Detail

getNumberOfFeatures

public int getNumberOfFeatures()

Specified by:

getNumberOfFeatures in interface HasNumberOfFeatures

Overrides:

getNumberOfFeatures in class Estimator

getDataType

public org.dmg.pmml.DataType getDataType()

Specified by:

getDataType in interface HasType

Overrides:

getDataType in class Estimator

encodeModel

public org.dmg.pmml.mining.MiningModel 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

getEstimators

public List<TreeRegressor> getEstimators()

Specified by:

getEstimators in interface HasEstimatorEnsemble<TreeRegressor>

getInit

public HasDefaultValue getInit()

getLearningRate

public Number getLearningRate()