Package sklearn.ensemble.weight_boosting

Class AdaBoostRegressor

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.ensemble.EnsembleRegressor

sklearn.ensemble.weight_boosting.AdaBoostRegressor

All Implemented Interfaces:

Serializable, Cloneable, Map<String,Object>, HasEstimatorEnsemble<Regressor>, HasNumberOfFeatures, HasNumberOfOutputs, HasType

public class AdaBoostRegressor
extends EnsembleRegressor

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

Constructor Summary

Constructors

Constructor	Description
AdaBoostRegressor(String module, String name)

Method Summary

Modifier and Type	Method	Description
org.dmg.pmml.mining.MiningModel	encodeModel(org.jpmml.converter.Schema schema)
List<? extends Number>	getEstimatorWeights()
int	getNumberOfFeatures()

Methods inherited from class sklearn.ensemble.EnsembleRegressor

getBaseEstimator, getDataType, getEstimators, getOpType

Methods inherited from class sklearn.Regressor

getMiningFunction

Methods inherited from class sklearn.Estimator

addFeatureImportances, checkFeatures, checkLabel, encode, getAlgorithmName, getFeatureImportances, getNumberOfOutputs, getOption, getPMMLFeatureImportances, getPMMLOptions, getSkLearnVersion, hasFeatureImportances, isSupervised, putOption, putOptions, setPMMLFeatureImportances, setPMMLOptions

Methods inherited from class sklearn.Step

createFieldName, createFieldName, createFieldName, getPMMLName, setPMMLName

Methods inherited from class org.jpmml.python.PythonObject

get, getArray, getArray, getArray, getArrayShape, getArrayShape, getBoolean, getBooleanArray, getClassName, getDict, getInteger, getIntegerArray, getList, getList, getListLike, getListLike, getNumber, getNumberArray, getObject, getOptional, getOptionalBoolean, getOptionalObject, getOptionalScalar, getOptionalString, getPythonModule, getPythonName, getPythonObject, getScalar, getString, getTuple, getTupleList, setClassName

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

__setstate__

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

AdaBoostRegressor

public AdaBoostRegressor(String module,
                         String name)

Method Detail

getNumberOfFeatures

public int getNumberOfFeatures()

Specified by:

getNumberOfFeatures in interface HasNumberOfFeatures

Overrides:

getNumberOfFeatures in class Estimator

encodeModel

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

Specified by:

encodeModel in class Estimator

getEstimatorWeights

public List<? extends Number> getEstimatorWeights()