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.sklearn.PyClassDict

sklearn.Estimator

sklearn.Regressor

sklearn.ensemble.gradient_boosting.GradientBoostingRegressor

All Implemented Interfaces:

Serializable, Cloneable, Map<String,Object>, org.jpmml.converter.HasOptions, HasSkLearnOptions, HasEstimatorEnsemble<TreeRegressor>, HasNumberOfFeatures, HasTreeOptions

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

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 interface sklearn.tree.HasTreeOptions

OPTION_COMPACT, OPTION_FLAT, OPTION_NODE_EXTENSIONS, OPTION_NODE_ID, OPTION_WINNER_ID

Constructor Summary

Constructors

Constructor and Description
GradientBoostingRegressor(String module, String name)

Method Summary

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

Methods inherited from class sklearn.Regressor

getMiningFunction, isSupervised

Methods inherited from class sklearn.Estimator

getOption, getOpType, getSkLearnVersion

Methods inherited from class org.jpmml.sklearn.PyClassDict

get, getArray, getArray, getArrayShape, getArrayShape, getBoolean, getInteger, getIntegerArray, getList, getList, getNumber, getObject, getOptional, getOptionalBoolean, getOptionalObject, getOptionalString, getScalar, getString, getTuple, getTupleList

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

__setstate__, getClassName

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 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()

Overrides:

getDataType in class Estimator

encodeModel

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

Specified by:

encodeModel in class Estimator

getInit

public HasDefaultValue getInit()

getLearningRate

public Number getLearningRate()

getEstimators

public List<? extends TreeRegressor> getEstimators()

Specified by:

getEstimators in interface HasEstimatorEnsemble<TreeRegressor>