public class EstimatorProxy extends Estimator implements HasClasses, HasEstimator<Estimator>, HasFeatureNamesIn, Proxy
AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>FIELD_APPLY, FIELD_DECISION_FUNCTION, FIELD_PREDICTUNKNOWNUNKNOWN| Constructor and Description |
|---|
EstimatorProxy() |
EstimatorProxy(String module,
String name) |
| Modifier and Type | Method and Description |
|---|---|
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) |
static String |
formatProxyExample(Estimator estimator) |
String |
getAlgorithmName() |
List<?> |
getClasses() |
org.dmg.pmml.DataType |
getDataType() |
Estimator |
getEstimator() |
List<String> |
getFeatureNamesIn() |
org.dmg.pmml.MiningFunction |
getMiningFunction() |
int |
getNumberOfFeatures() |
int |
getNumberOfOutputs() |
org.dmg.pmml.OpType |
getOpType() |
Map<String,?> |
getPMMLOptions() |
Object |
getPMMLSegmentId() |
boolean |
hasProbabilityDistribution() |
boolean |
isSupervised() |
EstimatorProxy |
setPMMLOptions(Map<String,?> pmmlOptions) |
EstimatorProxy |
setPMMLSegmentId(Object pmmlSegmentId) |
addFeatureImportances, createApplyField, createMultiApplyField, createPredictProbaFields, encode, encode, encodeApplyOutput, encodeMultiApplyOutput, extractArguments, getFeatureImportances, getOption, getPMMLCustomizations, getPMMLFeatureImportances, hasFeatureImportances, putOption, putOptions, setPMMLCustomizations, setPMMLFeatureImportancescheckSkLearnVersion, checkVersion, 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 org.dmg.pmml.OpType getOpType()
public org.dmg.pmml.DataType getDataType()
getDataType in interface HasTypegetDataType in class Estimatorpublic List<String> getFeatureNamesIn()
getFeatureNamesIn in interface HasFeatureNamesIngetFeatureNamesIn in class Steppublic int getNumberOfFeatures()
getNumberOfFeatures in interface HasNumberOfFeaturesgetNumberOfFeatures in class Estimatorpublic int getNumberOfOutputs()
getNumberOfOutputs in interface HasNumberOfOutputsgetNumberOfOutputs 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 Estimator getEstimator()
getEstimator in interface HasEstimator<Estimator>PythonObject.get(String, Class)public Map<String,?> getPMMLOptions()
getPMMLOptions in interface HasPMMLOptions<Estimator>getPMMLOptions in class Estimatorpublic EstimatorProxy setPMMLOptions(Map<String,?> pmmlOptions)
setPMMLOptions in interface HasPMMLOptions<Estimator>setPMMLOptions in class Estimatorpublic Object getPMMLSegmentId()
getPMMLSegmentId in interface HasPMMLSegmentId<Estimator>getPMMLSegmentId in class Estimatorpublic EstimatorProxy setPMMLSegmentId(Object pmmlSegmentId)
setPMMLSegmentId in interface HasPMMLSegmentId<Estimator>setPMMLSegmentId in class EstimatorCopyright © 2024. All rights reserved.