sklearn.ensemble.gradient_boosting

Class GradientBoostingClassifier

java.lang.Object

java.util.AbstractMap<K,V>

java.util.HashMap<String,Object>

net.razorvine.pickle.objects.ClassDict

sklearn.BaseEstimator

sklearn.Estimator

sklearn.Classifier

sklearn.ensemble.gradient_boosting.GradientBoostingClassifier

All Implemented Interfaces:

Serializable, Cloneable, Map<String,Object>

public class GradientBoostingClassifier
extends Classifier

See Also:

Serialized Form

Nested Class Summary

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

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

Constructor Summary

Constructors

Constructor and Description
GradientBoostingClassifier(String module, String name)

Method Summary

Methods

Modifier and Type	Method and Description
Set<org.dmg.pmml.DefineFunction>	encodeDefineFunctions()
org.dmg.pmml.mining.MiningModel	encodeModel(org.jpmml.converter.Schema schema)
org.dmg.pmml.DataType	getDataType() The data type of active fields.
List<DecisionTreeRegressor>	getEstimators()
HasPriorProbability	getInit()
Number	getLearningRate()
LossFunction	getLoss()
int	getNumberOfFeatures()
boolean	requiresContinuousInput()

Methods inherited from class sklearn.Classifier

createSchema, getClasses, hasProbabilityDistribution

Methods inherited from class sklearn.Estimator

createActiveFields, createTargetField, getOpType

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

__setstate__, getClassName

Methods inherited from class java.util.HashMap

clear, clone, containsKey, containsValue, entrySet, get, isEmpty, keySet, put, putAll, remove, 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

GradientBoostingClassifier

public GradientBoostingClassifier(String module,
                          String name)

Method Detail

getNumberOfFeatures

public int getNumberOfFeatures()

Overrides:

getNumberOfFeatures in class Estimator

requiresContinuousInput

public boolean requiresContinuousInput()

Overrides:

requiresContinuousInput in class Estimator

getDataType

public org.dmg.pmml.DataType getDataType()

Description copied from class: Estimator

The data type of active fields.

Overrides:

getDataType in class Estimator

encodeModel

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

Specified by:

encodeModel in class Estimator

encodeDefineFunctions

public Set<org.dmg.pmml.DefineFunction> encodeDefineFunctions()

Overrides:

encodeDefineFunctions in class Estimator

getLoss

public LossFunction getLoss()

getInit

public HasPriorProbability getInit()

getLearningRate

public Number getLearningRate()

getEstimators

public List<DecisionTreeRegressor> getEstimators()