public class StatsModelsOrdinalClassifier extends StatsModelsClassifier
AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>FIELD_PROBABILITYFIELD_APPLY, FIELD_DECISION_FUNCTION, FIELD_PREDICTUNKNOWNUNKNOWN| Constructor and Description |
|---|
StatsModelsOrdinalClassifier(String module,
String name) |
| Modifier and Type | Method and Description |
|---|---|
org.dmg.pmml.Model |
encodeModel(org.jpmml.converter.Schema schema) |
getFitIntercept, getResultsencodePredictProbaOutput, getClasses, getMiningFunction, hasProbabilityDistributionaddFeatureImportances, checkFeatures, checkLabel, createApplyField, createPredictProbaFields, encode, encode, encodeApplyOutput, extractArguments, getAlgorithmName, getDataType, getFeatureImportances, getNumberOfFeatures, getNumberOfOutputs, getOption, getOpType, getPMMLFeatureImportances, getPMMLOptions, getPMMLSegmentId, getSkLearnVersion, hasFeatureImportances, isSupervised, putOption, putOptions, setPMMLFeatureImportances, setPMMLOptions, setPMMLSegmentIdgetPMMLName, 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.Model encodeModel(org.jpmml.converter.Schema schema)
encodeModel in class StatsModelsClassifierCopyright © 2023. All rights reserved.