sklearn.ensemble.gradient_boosting

Class GradientBoostingClassifier

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.Classifier

sklearn.ensemble.gradient_boosting.GradientBoostingClassifier

All Implemented Interfaces:

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

public class GradientBoostingClassifier
extends Classifier
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 class sklearn.Classifier

FIELD_PROBABILITY

Fields inherited from class sklearn.Estimator

FIELD_DECISION_FUNCTION, FIELD_PREDICT

Fields inherited from interface sklearn.tree.HasTreeOptions

OPTION_COMPACT, OPTION_FLAT, OPTION_NODE_EXTENSIONS, OPTION_NODE_ID, OPTION_NODE_SCORE, OPTION_NUMERIC, OPTION_WINNER_ID

Fields inherited from interface sklearn.HasNumberOfFeatures

UNKNOWN

Constructor Summary

Constructors

Constructor and Description
GradientBoostingClassifier(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()
HasPriorProbability	getInit()
Number	getLearningRate()
LossFunction	getLoss()
int	getNumberOfFeatures()

Methods inherited from class sklearn.Classifier

getClasses, getMiningFunction, hasProbabilityDistribution

Methods inherited from class sklearn.Estimator

addFeatureImportances, encode, getFeatureImportances, getOption, getOpType, getPMMLFeatureImportances, getPMMLOptions, getSkLearnVersion, hasFeatureImportances, isSupervised, setPMMLFeatureImportances, setPMMLOptions

Methods inherited from class sklearn.Step

createFieldName, createFieldName, createFieldName, getPMMLName, setPMMLName, toArray

Methods inherited from class org.jpmml.python.PythonObject

get, getArray, getArray, getArray, getArrayShape, getArrayShape, getBoolean, getBooleanArray, getDict, getInteger, getIntegerArray, getList, getList, getListLike, getListLike, getNumber, getNumberArray, getObject, getOptional, getOptionalBoolean, getOptionalObject, getOptionalScalar, getOptionalString, getPythonModule, getPythonName, getPythonObject, 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 sklearn.tree.HasTreeOptions

getNativeConfiguration

Methods inherited from interface java.util.Map

equals, hashCode

Constructor Detail

GradientBoostingClassifier

public GradientBoostingClassifier(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

getLoss

public LossFunction getLoss()

getInit

public HasPriorProbability getInit()

getLearningRate

public Number getLearningRate()

getEstimators

public List<? extends TreeRegressor> getEstimators()

Specified by:

getEstimators in interface HasEstimatorEnsemble<TreeRegressor>