public class IsolationForest extends EnsembleRegressor implements HasTreeOptions
AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>OPTION_COMPACT, OPTION_FLAT, OPTION_NODE_EXTENSIONS, OPTION_WINNER_ID| Constructor and Description |
|---|
IsolationForest(String module,
String name) |
| Modifier and Type | Method and Description |
|---|---|
org.dmg.pmml.mining.MiningModel |
encodeModel(org.jpmml.converter.Schema schema) |
int |
getMaxSamples() |
String |
getSkLearnVersion() |
double |
getThreshold() |
boolean |
isSupervised() |
getBaseEstimator, getDataType, getEstimators, getOpTypegetMiningFunctiongetNumberOfFeatures, getOptionget, getArray, getArray, getArrayShape, getArrayShape, getList, getList, getScalar, getTupleListclear, clone, compute, computeIfAbsent, computeIfPresent, containsKey, containsValue, entrySet, forEach, get, getOrDefault, isEmpty, keySet, merge, put, putAll, putIfAbsent, remove, remove, replace, replace, replaceAll, size, valuesequals, hashCode, toStringpublic boolean isSupervised()
isSupervised in class Regressorpublic org.dmg.pmml.mining.MiningModel encodeModel(org.jpmml.converter.Schema schema)
encodeModel in class Estimatorpublic String getSkLearnVersion()
public int getMaxSamples()
public double getThreshold()
Copyright © 2018. All rights reserved.