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>,HasIsolationForest,HasDecisionFunctionField,HasNumberOfFeatures,HasNumberOfOutputs,HasOutlierField,HasType,OutlierDetector,HasPMMLOptions<Estimator>,HasPMMLSegmentId<Estimator>
public class ExtendedIsolationForest extends Regressor implements HasIsolationForest, 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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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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Fields inherited from interface sklearn.OutlierDetector
FIELD_OUTLIER
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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, SkLearnEncoder encoder)org.dmg.pmml.mining.MiningModelencodeModel(org.jpmml.converter.Schema schema)List<Regressor>getEstimators()List<List<Number>>getEstimatorsFeatures()IntegergetMaxSamples()intgetNumberOfOutputs()NumbergetOffset()booleanisSupervised()-
Methods inherited from class sklearn.Regressor
getMiningFunction
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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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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.HasDecisionFunctionField
getDecisionFunctionField
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Methods inherited from interface sklearn.HasOutlierField
getOutlierField
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Methods inherited from interface sklearn.OutlierDetector
getDecisionFunctionThreshold
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Method Detail
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getNumberOfOutputs
public int getNumberOfOutputs()
- Specified by:
getNumberOfOutputsin interfaceHasNumberOfOutputs- Overrides:
getNumberOfOutputsin classRegressor
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isSupervised
public boolean isSupervised()
- Overrides:
isSupervisedin classRegressor
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encodeLabel
public org.jpmml.converter.Label encodeLabel(List<String> names, SkLearnEncoder encoder)
- Overrides:
encodeLabelin classRegressor
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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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getEstimators
public List<Regressor> getEstimators()
- Specified by:
getEstimatorsin interfaceHasIsolationForest
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getEstimatorsFeatures
public List<List<Number>> getEstimatorsFeatures()
- Specified by:
getEstimatorsFeaturesin interfaceHasIsolationForest
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getMaxSamples
public Integer getMaxSamples()
- Specified by:
getMaxSamplesin interfaceHasIsolationForest
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getOffset
public Number getOffset()
- Specified by:
getOffsetin interfaceHasIsolationForest
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