public class ExtendedIsolationForest extends Regressor implements HasIsolationForest, OutlierDetector
AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>FIELD_APPLY, FIELD_DECISION_FUNCTION, FIELD_PREDICTFIELD_OUTLIERUNKNOWNUNKNOWN| Constructor and Description |
|---|
ExtendedIsolationForest(String module,
String name) |
| Modifier and Type | Method and Description |
|---|---|
org.jpmml.converter.Label |
encodeLabel(List<String> names,
SkLearnEncoder encoder) |
org.dmg.pmml.mining.MiningModel |
encodeModel(org.jpmml.converter.Schema schema) |
List<Regressor> |
getEstimators() |
List<List<Number>> |
getEstimatorsFeatures() |
Integer |
getMaxSamples() |
int |
getNumberOfOutputs() |
Number |
getOffset() |
boolean |
isSupervised() |
encodeLabel, getMiningFunctionaddFeatureImportances, checkFeatures, checkLabel, configureModel, configureSchema, createApplyField, createMultiApplyField, createPredictProbaFields, encode, encode, encodeApplyOutput, encodeMultiApplyOutput, extractArguments, getAlgorithmName, getDataType, getFeatureImportances, getNumberOfFeatures, getOption, getOpType, getPMMLCustomizations, getPMMLFeatureImportances, getPMMLOptions, getPMMLSegmentId, hasFeatureImportances, putOption, putOptions, setPMMLCustomizations, setPMMLFeatureImportances, setPMMLOptions, setPMMLSegmentIdcheckSkLearnVersion, checkVersion, getFeatureNamesIn, getPMMLName, getSkLearnVersion, setPMMLNamecontainsKey, 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, updateclear, clone, compute, computeIfAbsent, computeIfPresent, containsValue, entrySet, forEach, getOrDefault, isEmpty, keySet, merge, putIfAbsent, remove, replace, replace, replaceAll, size, valuesequals, hashCode, toStringfinalize, getClass, notify, notifyAll, wait, wait, waitgetDecisionFunctionThresholdgetDecisionFunctionFieldgetOutlierFieldpublic int getNumberOfOutputs()
getNumberOfOutputs in interface HasNumberOfOutputsgetNumberOfOutputs in class Regressorpublic boolean isSupervised()
isSupervised in class Regressorpublic org.jpmml.converter.Label encodeLabel(List<String> names, SkLearnEncoder encoder)
encodeLabel in class Regressorpublic org.dmg.pmml.mining.MiningModel encodeModel(org.jpmml.converter.Schema schema)
encodeModel in class Estimatorpublic List<Regressor> getEstimators()
getEstimators in interface HasIsolationForestpublic List<List<Number>> getEstimatorsFeatures()
getEstimatorsFeatures in interface HasIsolationForestpublic Integer getMaxSamples()
getMaxSamples in interface HasIsolationForestpublic Number getOffset()
getOffset in interface HasIsolationForestCopyright © 2024. All rights reserved.