Package sklearn.ensemble.weight_boosting
Class AdaBoostRegressor
- java.lang.Object
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- java.util.AbstractMap<K,V>
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- java.util.HashMap<java.lang.String,java.lang.Object>
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- net.razorvine.pickle.objects.ClassDict
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- org.jpmml.python.PythonObject
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- sklearn.Step
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- sklearn.Estimator
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- sklearn.Regressor
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- sklearn.SkLearnRegressor
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- sklearn.ensemble.EnsembleRegressor
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- sklearn.ensemble.weight_boosting.AdaBoostRegressor
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- All Implemented Interfaces:
java.io.Serializable,java.lang.Cloneable,java.util.Map<java.lang.String,java.lang.Object>,org.jpmml.converter.HasOptions,Encodable,HasSkLearnOptions,HasEstimatorEnsemble<Regressor>,HasFeatureNamesIn,HasNumberOfFeatures,HasNumberOfOutputs,HasType,HasPMMLOptions<Estimator>,HasPMMLSegmentId<Estimator>
public class AdaBoostRegressor extends EnsembleRegressor
- See Also:
- Serialized Form
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Field Summary
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Fields inherited from class sklearn.Estimator
FIELD_APPLY, FIELD_DECISION_FUNCTION, FIELD_PREDICT
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Fields inherited from interface sklearn.HasNumberOfFeatures
UNKNOWN
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Fields inherited from interface sklearn.HasNumberOfOutputs
UNKNOWN
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Constructor Summary
Constructors Constructor Description AdaBoostRegressor(java.lang.String module, java.lang.String name)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description org.dmg.pmml.mining.MiningModelencodeModel(org.jpmml.converter.Schema schema)java.util.List<java.lang.Number>getEstimatorWeights()intgetNumberOfFeatures()-
Methods inherited from class sklearn.ensemble.EnsembleRegressor
getDataType, getEstimator, getEstimators, getOpType
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Methods inherited from class sklearn.SkLearnRegressor
encodePMML
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Methods inherited from class sklearn.Regressor
encodeLabel, getMiningFunction, getNumberOfOutputs, isSupervised
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Methods inherited from class sklearn.Estimator
addFeatureImportances, checkFeatures, checkLabel, configureModel, configureSchema, createApplyField, createMultiApplyField, createPredictProbaFields, encode, encode, encodeApplyOutput, encodeMultiApplyOutput, getAlgorithmName, getFeatureImportances, getOption, getPMMLCustomizations, getPMMLFeatureImportances, getPMMLOptions, getPMMLSegmentId, hasFeatureImportances, putOption, putOptions, setPMMLCustomizations, setPMMLFeatureImportances, setPMMLOptions, setPMMLSegmentId
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Methods inherited from class sklearn.Step
checkSkLearnVersion, checkVersion, getFeatureNamesIn, getPMMLName, getSkLearnVersion, setPMMLName
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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
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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
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Methods inherited from interface sklearn.HasFeatureNamesIn
getFeatureNamesIn
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Method Detail
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getNumberOfFeatures
public int getNumberOfFeatures()
- Specified by:
getNumberOfFeaturesin interfaceHasNumberOfFeatures- Overrides:
getNumberOfFeaturesin classEstimator
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encodeModel
public org.dmg.pmml.mining.MiningModel encodeModel(org.jpmml.converter.Schema schema)
- Specified by:
encodeModelin classEstimator
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getEstimatorWeights
public java.util.List<java.lang.Number> getEstimatorWeights()
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