Package sklearn.linear_model.glm
Class TweedieRegressor
- java.lang.Object
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- java.util.AbstractMap<K,V>
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- java.util.HashMap<String,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.linear_model.LinearRegressor
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- sklearn.linear_model.glm.TweedieRegressor
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- All Implemented Interfaces:
Serializable,Cloneable,Map<String,Object>,org.jpmml.converter.HasOptions,Encodable,HasSkLearnOptions,HasFeatureNamesIn,HasNumberOfFeatures,HasNumberOfOutputs,HasType,HasPMMLOptions<Estimator>,HasPMMLSegmentId<Estimator>
public class TweedieRegressor extends LinearRegressor
- See Also:
- Serialized Form
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Nested Class Summary
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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>
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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 TweedieRegressor(String module, String name)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description NumbergetPower()-
Methods inherited from class sklearn.linear_model.LinearRegressor
encodeModel, getCoef, getCoefShape, getIntercept, getNumberOfFeatures, getNumberOfOutputs
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Methods inherited from class sklearn.SkLearnRegressor
encodePMML
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Methods inherited from class sklearn.Regressor
encodeLabel, getMiningFunction, isSupervised
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Methods inherited from class sklearn.Estimator
addFeatureImportances, checkFeatures, checkLabel, configureModel, configureSchema, createApplyField, createMultiApplyField, createPredictProbaFields, encode, encode, encodeApplyOutput, encodeMultiApplyOutput, getAlgorithmName, getClassifierTags, getDataType, getFeatureImportances, getOption, getOpType, getPMMLCustomizations, getPMMLFeatureImportances, getPMMLOptions, getPMMLSegmentId, getRegressorTags, getTargetTags, hasFeatureImportances, putOption, putOptions, setPMMLCustomizations, setPMMLFeatureImportances, setPMMLOptions, setPMMLSegmentId
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Methods inherited from class sklearn.Step
checkSkLearnVersion, checkVersion, getFeatureNamesIn, getInputTags, getPMMLName, getSkLearnTags, 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 class java.util.AbstractMap
equals, hashCode, toString
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Methods inherited from interface sklearn.HasFeatureNamesIn
getFeatureNamesIn
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