public abstract class Regressor extends 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.Label |
encodeLabel(List<String> names,
SkLearnEncoder encoder) |
protected org.jpmml.converter.ScalarLabel |
encodeLabel(String name,
SkLearnEncoder encoder) |
org.dmg.pmml.MiningFunction |
getMiningFunction() |
addFeatureImportances, checkFeatures, checkLabel, createApplyField, createMultiApplyField, createPredictProbaFields, encode, encode, encodeApplyOutput, encodeModel, encodeMultiApplyOutput, extractArguments, getAlgorithmName, getDataType, getFeatureImportances, getNumberOfFeatures, getNumberOfOutputs, getOption, getOpType, getPMMLFeatureImportances, getPMMLOptions, getPMMLSegmentId, hasFeatureImportances, isSupervised, putOption, putOptions, setPMMLFeatureImportances, setPMMLOptions, setPMMLSegmentIdcheckVersion, getPMMLName, getSkLearnFeatureNamesIn, getSkLearnVersion, setPMMLNameget, 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, toStringpublic org.dmg.pmml.MiningFunction getMiningFunction()
getMiningFunction in class Estimatorpublic org.jpmml.converter.Label encodeLabel(List<String> names, SkLearnEncoder encoder)
encodeLabel in class Estimatorprotected org.jpmml.converter.ScalarLabel encodeLabel(String name, SkLearnEncoder encoder)
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