Package sklearn.ensemble.iforest

Class IsolationForest

java.lang.Object

java.util.AbstractMap<K,V>

java.util.HashMap<String,Object>

net.razorvine.pickle.objects.ClassDict

org.jpmml.python.PythonObject

sklearn.Step

sklearn.Estimator

sklearn.Regressor

sklearn.SkLearnRegressor

sklearn.ensemble.EnsembleRegressor

sklearn.ensemble.iforest.IsolationForest

All Implemented Interfaces:

Serializable, Cloneable, Map<String,Object>, org.jpmml.converter.HasNativeConfiguration, org.jpmml.converter.HasOptions, Encodable, HasSkLearnOptions, HasIsolationForest, HasDecisionFunctionField, HasEstimatorEnsemble<Regressor>, HasFeatureNamesIn, HasNumberOfFeatures, HasNumberOfOutputs, HasOutlierField, HasType, OutlierDetector, HasTreeOptions, HasPMMLOptions<Estimator>, HasPMMLSegmentId<Estimator>

public class IsolationForest
extends EnsembleRegressor
implements HasIsolationForest, HasTreeOptions, OutlierDetector

See Also:

Serialized Form

Nested Class Summary

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>

Nested classes/interfaces inherited from interface java.util.Map

Map.Entry<K extends Object,V extends Object>

Field Summary

Fields inherited from class sklearn.Estimator

FIELD_APPLY, FIELD_DECISION_FUNCTION, FIELD_PREDICT

Fields inherited from interface sklearn.HasNumberOfFeatures

UNKNOWN

Fields inherited from interface sklearn.HasNumberOfOutputs

UNKNOWN

Fields inherited from interface sklearn.tree.HasTreeOptions

OPTION_ALLOW_MISSING, OPTION_COMPACT, OPTION_FLAT, OPTION_INPUT_FLOAT, OPTION_NODE_EXTENSIONS, OPTION_NODE_ID, OPTION_NODE_SCORE, OPTION_NUMERIC, OPTION_PRUNE, OPTION_WINNER_ID

Fields inherited from interface sklearn.OutlierDetector

FIELD_OUTLIER

Constructor Summary

Constructors

Constructor	Description
IsolationForest(String module, String name)

Method Summary

Modifier and Type	Method	Description
org.dmg.pmml.Model	configureModel(org.dmg.pmml.Model model)
org.jpmml.converter.Schema	configureSchema(org.jpmml.converter.Schema schema)
org.jpmml.converter.Label	encodeLabel(List<String> names, SkLearnEncoder encoder)
org.dmg.pmml.mining.MiningModel	encodeModel(org.jpmml.converter.Schema schema)
String	getBehaviour()
Number	getDecisionFunctionThreshold()
List<Regressor>	getEstimators()
List<List<Number>>	getEstimatorsFeatures()
Integer	getMaxSamples()
int	getNumberOfOutputs()
Number	getOffset()
Number	getThreshold()
boolean	isSupervised()

Methods inherited from class sklearn.ensemble.EnsembleRegressor

getDataType, getEstimator, getOpType

Methods inherited from class sklearn.SkLearnRegressor

encodePMML

Methods inherited from class sklearn.Regressor

getMiningFunction

Methods inherited from class sklearn.Estimator

addFeatureImportances, checkFeatures, checkLabel, createApplyField, createMultiApplyField, createPredictProbaFields, encode, encode, encodeApplyOutput, encodeMultiApplyOutput, getAlgorithmName, getFeatureImportances, getNumberOfFeatures, getOption, getPMMLCustomizations, getPMMLFeatureImportances, getPMMLOptions, getPMMLSegmentId, hasFeatureImportances, putOption, putOptions, setPMMLCustomizations, setPMMLFeatureImportances, setPMMLOptions, setPMMLSegmentId

Methods inherited from class sklearn.Step

checkSkLearnVersion, checkVersion, getFeatureNamesIn, getPMMLName, getSkLearnVersion, setPMMLName

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

Methods inherited from class net.razorvine.pickle.objects.ClassDict

__setstate__

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

Methods inherited from class java.util.AbstractMap

equals, hashCode, toString

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface sklearn.HasDecisionFunctionField

getDecisionFunctionField

Methods inherited from interface sklearn.HasFeatureNamesIn

getFeatureNamesIn

Methods inherited from interface sklearn.HasOutlierField

getOutlierField

Methods inherited from interface sklearn.tree.HasTreeOptions

getNativeConfiguration

Methods inherited from interface java.util.Map

equals, hashCode

Constructor Detail

IsolationForest

public IsolationForest(String module,
                       String name)

Method Detail

getNumberOfOutputs

public int getNumberOfOutputs()

Specified by:

getNumberOfOutputs in interface HasNumberOfOutputs

Overrides:

getNumberOfOutputs in class Regressor

isSupervised

public boolean isSupervised()

Overrides:

isSupervised in class Regressor

encodeLabel

public org.jpmml.converter.Label encodeLabel(List<String> names,
                                             SkLearnEncoder encoder)

Overrides:

encodeLabel in class Regressor

encodeModel

public org.dmg.pmml.mining.MiningModel encodeModel(org.jpmml.converter.Schema schema)

Specified by:

encodeModel in class Estimator

configureSchema

public org.jpmml.converter.Schema configureSchema(org.jpmml.converter.Schema schema)

Overrides:

configureSchema in class Estimator

configureModel

public org.dmg.pmml.Model configureModel(org.dmg.pmml.Model model)

Overrides:

configureModel in class Estimator

getDecisionFunctionThreshold

public Number getDecisionFunctionThreshold()

Specified by:

getDecisionFunctionThreshold in interface OutlierDetector

getEstimators

public List<Regressor> getEstimators()

Specified by:

getEstimators in interface HasEstimatorEnsemble<Regressor>

Specified by:

getEstimators in interface HasIsolationForest

Overrides:

getEstimators in class EnsembleRegressor

getEstimatorsFeatures

public List<List<Number>> getEstimatorsFeatures()

Specified by:

getEstimatorsFeatures in interface HasIsolationForest

getBehaviour

public String getBehaviour()

getMaxSamples

public Integer getMaxSamples()

Specified by:

getMaxSamples in interface HasIsolationForest

getOffset

public Number getOffset()

Specified by:

getOffset in interface HasIsolationForest

getThreshold

public Number getThreshold()