Package sktree.ensemble.eiforest
Class ExtendedIsolationForest
- 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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- sktree.ensemble.eiforest.ExtendedIsolationForest
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- All Implemented Interfaces:
Serializable,Cloneable,Map<String,Object>,sklearn.ensemble.iforest.HasIsolationForest,sklearn.HasDecisionFunctionField,sklearn.HasNumberOfFeatures,sklearn.HasNumberOfOutputs,sklearn.HasOutlierField,sklearn.HasType,sklearn.OutlierDetector,sklearn2pmml.HasPMMLOptions<sklearn.Estimator>,sklearn2pmml.HasPMMLSegmentId<sklearn.Estimator>
public class ExtendedIsolationForest extends sklearn.Regressor implements sklearn.ensemble.iforest.HasIsolationForest, sklearn.OutlierDetector- 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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Constructor Summary
Constructors Constructor Description ExtendedIsolationForest(String module, String name)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description org.jpmml.converter.LabelencodeLabel(List<String> names, org.jpmml.sklearn.SkLearnEncoder encoder)org.dmg.pmml.mining.MiningModelencodeModel(org.jpmml.converter.Schema schema)List<sklearn.Regressor>getEstimators()List<List<Number>>getEstimatorsFeatures()IntegergetMaxSamples()intgetNumberOfOutputs()NumbergetOffset()booleanisSupervised()-
Methods inherited from class sklearn.Estimator
addFeatureImportances, checkFeatures, checkLabel, configureModel, configureSchema, createApplyField, createMultiApplyField, createPredictProbaFields, encode, encode, encodeApplyOutput, encodeMultiApplyOutput, getAlgorithmName, getClassifierTags, getDataType, getFeatureImportances, getNumberOfFeatures, 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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Method Detail
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getNumberOfOutputs
public int getNumberOfOutputs()
- Specified by:
getNumberOfOutputsin interfacesklearn.HasNumberOfOutputs- Overrides:
getNumberOfOutputsin classsklearn.Regressor
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isSupervised
public boolean isSupervised()
- Overrides:
isSupervisedin classsklearn.Regressor
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encodeLabel
public org.jpmml.converter.Label encodeLabel(List<String> names, org.jpmml.sklearn.SkLearnEncoder encoder)
- Overrides:
encodeLabelin classsklearn.Regressor
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encodeModel
public org.dmg.pmml.mining.MiningModel encodeModel(org.jpmml.converter.Schema schema)
- Specified by:
encodeModelin classsklearn.Estimator
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getEstimators
public List<sklearn.Regressor> getEstimators()
- Specified by:
getEstimatorsin interfacesklearn.ensemble.iforest.HasIsolationForest
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getEstimatorsFeatures
public List<List<Number>> getEstimatorsFeatures()
- Specified by:
getEstimatorsFeaturesin interfacesklearn.ensemble.iforest.HasIsolationForest
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getMaxSamples
public Integer getMaxSamples()
- Specified by:
getMaxSamplesin interfacesklearn.ensemble.iforest.HasIsolationForest
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getOffset
public Number getOffset()
- Specified by:
getOffsetin interfacesklearn.ensemble.iforest.HasIsolationForest
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