public class Link extends Estimator implements HasClasses, HasEstimator<Estimator>
AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>FIELD_APPLY, FIELD_DECISION_FUNCTION, FIELD_PREDICTUNKNOWNUNKNOWN| Modifier and Type | Method and Description |
|---|---|
org.jpmml.converter.Schema |
augmentSchema(org.dmg.pmml.Model model,
org.jpmml.converter.Schema schema) |
void |
checkFeatures(List<? extends org.jpmml.converter.Feature> features) |
void |
checkLabel(org.jpmml.converter.Label label) |
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.Model |
encodeModel(org.jpmml.converter.Schema schema) |
String |
getAlgorithmName() |
List<String> |
getAugmentFuncs() |
List<?> |
getClasses() |
Estimator |
getEstimator() |
org.dmg.pmml.MiningFunction |
getMiningFunction() |
boolean |
hasProbabilityDistribution() |
boolean |
isSupervised() |
addFeatureImportances, createApplyField, createMultiApplyField, createPredictProbaFields, encode, encode, encodeApplyOutput, encodeMultiApplyOutput, extractArguments, getDataType, getFeatureImportances, getNumberOfFeatures, getNumberOfOutputs, getOption, getOpType, getPMMLCustomizations, getPMMLFeatureImportances, getPMMLOptions, getPMMLSegmentId, hasFeatureImportances, putOption, putOptions, setPMMLCustomizations, setPMMLFeatureImportances, setPMMLOptions, setPMMLSegmentIdcheckSkLearnVersion, checkVersion, getFeatureNamesIn, getPMMLName, getSkLearnVersion, setPMMLNameget, getArray, getArray, getArray, getArrayShape, getArrayShape, getBoolean, getBooleanArray, getClassName, getDict, getInteger, getIntegerArray, getList, getList, getListLike, getListLike, getNumber, getNumberArray, getObject, getOptional, getOptionalBoolean, getOptionalBoolean, getOptionalInteger, getOptionalNumber, getOptionalObject, getOptionalScalar, getOptionalString, getPythonModule, getPythonName, getPythonObject, getScalar, getString, getStringArray, getTuple, getTupleList, setClassNameclear, 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 org.dmg.pmml.MiningFunction getMiningFunction()
getMiningFunction in class Estimatorpublic boolean isSupervised()
isSupervised in class Estimatorpublic List<?> getClasses()
getClasses in interface HasClassespublic boolean hasProbabilityDistribution()
hasProbabilityDistribution in interface HasClassespublic String getAlgorithmName()
getAlgorithmName in class Estimatorpublic org.jpmml.converter.Label encodeLabel(List<String> names, SkLearnEncoder encoder)
encodeLabel in class Estimatorpublic org.dmg.pmml.Model encodeModel(org.jpmml.converter.Schema schema)
encodeModel in class Estimatorpublic org.jpmml.converter.Schema configureSchema(org.jpmml.converter.Schema schema)
configureSchema in class Estimatorpublic org.dmg.pmml.Model configureModel(org.dmg.pmml.Model model)
configureModel in class Estimatorpublic void checkLabel(org.jpmml.converter.Label label)
checkLabel in class Estimatorpublic void checkFeatures(List<? extends org.jpmml.converter.Feature> features)
checkFeatures in class Estimatorpublic org.jpmml.converter.Schema augmentSchema(org.dmg.pmml.Model model,
org.jpmml.converter.Schema schema)
public Estimator getEstimator()
getEstimator in interface HasEstimator<Estimator>Copyright © 2024. All rights reserved.