public abstract class Calibrator extends SkLearnRegressor implements HasPMMLName<Calibrator>
AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>FIELD_APPLY, FIELD_DECISION_FUNCTION, FIELD_PREDICTUNKNOWNUNKNOWN| Constructor and Description |
|---|
Calibrator(String module,
String name) |
| Modifier and Type | Method and Description |
|---|---|
String |
createFieldName(String function,
org.jpmml.converter.Feature feature) |
abstract List<org.jpmml.converter.Feature> |
encodeFeatures(List<org.jpmml.converter.Feature> features,
SkLearnEncoder encoder) |
org.dmg.pmml.regression.RegressionModel |
encodeModel(org.jpmml.converter.Schema schema) |
Calibrator |
setPMMLName(String pmmlName) |
encodePMMLencodeLabel, encodeLabel, getMiningFunction, getNumberOfOutputs, isSupervisedaddFeatureImportances, checkFeatures, checkLabel, createApplyField, createMultiApplyField, createPredictProbaFields, encode, encode, encodeApplyOutput, encodeMultiApplyOutput, extractArguments, getAlgorithmName, getDataType, getFeatureImportances, getNumberOfFeatures, getOption, getOpType, getPMMLFeatureImportances, getPMMLOptions, getPMMLSegmentId, hasFeatureImportances, putOption, putOptions, setPMMLFeatureImportances, setPMMLOptions, setPMMLSegmentIdcheckSkLearnVersion, checkVersion, getFeatureNamesIn, getPMMLName, getSkLearnVersionget, getArray, getArray, getArray, getArrayShape, getArrayShape, getBoolean, getBooleanArray, getClassName, getDict, getInteger, getIntegerArray, getList, getList, getListLike, getListLike, getNumber, getNumberArray, getObject, getOptional, getOptionalBoolean, getOptionalObject, getOptionalScalar, getOptionalString, getPythonModule, getPythonName, getPythonObject, getScalar, getString, 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, toStringfinalize, getClass, notify, notifyAll, wait, wait, waitgetPMMLNamegetFeatureNamesInpublic abstract List<org.jpmml.converter.Feature> encodeFeatures(List<org.jpmml.converter.Feature> features, SkLearnEncoder encoder)
public org.dmg.pmml.regression.RegressionModel encodeModel(org.jpmml.converter.Schema schema)
encodeModel in class Estimatorpublic Calibrator setPMMLName(String pmmlName)
setPMMLName in interface HasPMMLName<Calibrator>setPMMLName in class StepCopyright © 2023. All rights reserved.