Package xgboost.sklearn

Class XGBRegressor

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

xgboost.sklearn.XGBRegressor

All Implemented Interfaces:

Serializable, Cloneable, Map<String,Object>, org.jpmml.converter.HasNativeConfiguration, org.jpmml.converter.HasOptions, org.jpmml.sklearn.Encodable, org.jpmml.xgboost.HasXGBoostOptions, sklearn.HasNumberOfFeatures, sklearn.HasNumberOfOutputs, sklearn.HasType, sklearn2pmml.HasPMMLOptions<sklearn.Estimator>, sklearn2pmml.HasPMMLSegmentId<sklearn.Estimator>, HasBooster

public class XGBRegressor
extends sklearn.Regressor
implements HasBooster, org.jpmml.xgboost.HasXGBoostOptions, org.jpmml.sklearn.Encodable

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 org.jpmml.xgboost.HasXGBoostOptions

OPTION_BYTE_ORDER, OPTION_CHARSET, OPTION_COMPACT, OPTION_INPUT_FLOAT, OPTION_MISSING, OPTION_NTREE_LIMIT, OPTION_NUMERIC, OPTION_PRUNE

Constructor Summary

Constructors

Constructor	Description
XGBRegressor(String module, String name)

Method Summary

Modifier and Type	Method	Description
void	checkLabel(org.jpmml.converter.Label label)
org.dmg.pmml.mining.MiningModel	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.PMML	encodePMML()
Booster	getBooster()
org.dmg.pmml.DataType	getDataType()
int	getNumberOfFeatures()

Methods inherited from class sklearn.Regressor

encodeLabel, getMiningFunction, getNumberOfOutputs, isSupervised

Methods inherited from class sklearn.Estimator

addFeatureImportances, checkFeatures, 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 org.jpmml.xgboost.HasXGBoostOptions

getNativeConfiguration

Methods inherited from interface java.util.Map

equals, hashCode

Constructor Detail

XGBRegressor

public XGBRegressor(String module,
                    String name)

Method Detail

getNumberOfFeatures

public int getNumberOfFeatures()

Specified by:

getNumberOfFeatures in interface sklearn.HasNumberOfFeatures

Overrides:

getNumberOfFeatures in class sklearn.Estimator

getDataType

public org.dmg.pmml.DataType getDataType()

Specified by:

getDataType in interface sklearn.HasType

Overrides:

getDataType in class sklearn.Estimator

checkLabel

public void checkLabel(org.jpmml.converter.Label label)

Overrides:

checkLabel in class sklearn.Estimator

encodeModel

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

Specified by:

encodeModel in class sklearn.Estimator

configureSchema

public org.jpmml.converter.Schema configureSchema(org.jpmml.converter.Schema schema)

Overrides:

configureSchema in class sklearn.Estimator

configureModel

public org.dmg.pmml.mining.MiningModel configureModel(org.dmg.pmml.Model model)

Overrides:

configureModel in class sklearn.Estimator

encodePMML

public org.dmg.pmml.PMML encodePMML()

Specified by:

encodePMML in interface org.jpmml.sklearn.Encodable

getBooster

public Booster getBooster()

Specified by:

getBooster in interface HasBooster