Package sklearn2pmml.statsmodels
Class StatsModelsClassifier
- 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.Classifier
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- sklearn2pmml.statsmodels.StatsModelsClassifier
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- All Implemented Interfaces:
java.io.Serializable,java.lang.Cloneable,java.util.Map<java.lang.String,java.lang.Object>,org.jpmml.sklearn.Encodable,sklearn.HasClasses,sklearn.HasNumberOfFeatures,sklearn.HasNumberOfOutputs,sklearn.HasType,sklearn2pmml.HasPMMLOptions<sklearn.Estimator>,sklearn2pmml.HasPMMLSegmentId<sklearn.Estimator>,HasResults
- Direct Known Subclasses:
StatsModelsOrdinalClassifier
public class StatsModelsClassifier extends sklearn.Classifier implements HasResults, org.jpmml.sklearn.Encodable
- See Also:
- Serialized Form
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Constructor Summary
Constructors Constructor Description StatsModelsClassifier(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.ModelencodeModel(org.jpmml.converter.Schema schema)org.dmg.pmml.PMMLencodePMML()java.lang.BooleangetFitIntercept()statsmodels.ResultsWrappergetResults()-
Methods inherited from class sklearn.Classifier
canonicalizeValue, canonicalizeValues, encodeLabel, encodePredictProbaOutput, getClasses, getMiningFunction, getNumberOfOutputs, hasProbabilityDistribution, isSupervised
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Methods inherited from class sklearn.Estimator
addFeatureImportances, checkFeatures, checkLabel, configureModel, configureSchema, createApplyField, createMultiApplyField, createPredictProbaFields, encode, encode, encodeApplyOutput, encodeMultiApplyOutput, getAlgorithmName, getDataType, getFeatureImportances, getNumberOfFeatures, getOption, getOpType, 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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Method Detail
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encodeModel
public org.dmg.pmml.Model encodeModel(org.jpmml.converter.Schema schema)
- Specified by:
encodeModelin classsklearn.Estimator
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encodePMML
public org.dmg.pmml.PMML encodePMML()
- Specified by:
encodePMMLin interfaceorg.jpmml.sklearn.Encodable
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getFitIntercept
public java.lang.Boolean getFitIntercept()
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getResults
public statsmodels.ResultsWrapper getResults()
- Specified by:
getResultsin interfaceHasResults
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