public class Scorecard extends Estimator implements HasClasses
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) |
org.dmg.pmml.Model |
encodeModel(org.jpmml.converter.Schema schema) |
BinningProcess |
getBinningProcess() |
List<?> |
getClasses() |
pandas.core.DataFrame |
getDFScorecard() |
Estimator |
getEstimator() |
Number |
getIntercept() |
org.dmg.pmml.MiningFunction |
getMiningFunction() |
int |
getNumberOfOutputs() |
String |
getScalingMethod() |
boolean |
hasProbabilityDistribution() |
boolean |
isSupervised() |
addFeatureImportances, checkFeatures, checkLabel, configureModel, configureSchema, createApplyField, createMultiApplyField, createPredictProbaFields, encode, encode, encodeApplyOutput, encodeMultiApplyOutput, extractArguments, getAlgorithmName, getDataType, getFeatureImportances, getNumberOfFeatures, getOption, getOpType, getPMMLCustomizations, getPMMLFeatureImportances, getPMMLOptions, getPMMLSegmentId, hasFeatureImportances, putOption, putOptions, setPMMLCustomizations, setPMMLFeatureImportances, setPMMLOptions, setPMMLSegmentIdcheckSkLearnVersion, checkVersion, getFeatureNamesIn, getPMMLName, getSkLearnVersion, setPMMLNamecontainsKey, delattr, get, get, getArray, getArray, getArray, getArrayList, getArrayList, getArrayShape, getArrayShape, getattr, getattr, getBoolean, getBooleanArray, getClassName, getDict, getEnum, getEnumList, getIdentifiable, getInteger, getIntegerArray, getList, getList, getListLike, getListLike, getNumber, getNumberArray, getObject, getObjectArray, getObjectList, getOptional, getOptionalBoolean, getOptionalBoolean, getOptionalDict, getOptionalEnum, getOptionalIdentifiable, getOptionalInteger, getOptionalNumber, getOptionalObject, getOptionalScalar, getOptionalString, getOptionalTuple, getPythonModule, getPythonName, getScalar, getString, getStringArray, getStringList, getTuple, getTupleList, hasattr, put, putAll, remove, setattr, setClassName, updateclear, clone, compute, computeIfAbsent, computeIfPresent, containsValue, entrySet, forEach, getOrDefault, isEmpty, keySet, merge, putIfAbsent, remove, replace, replace, replaceAll, size, valuesequals, hashCode, toStringpublic org.dmg.pmml.MiningFunction getMiningFunction()
getMiningFunction in class Estimatorpublic boolean isSupervised()
isSupervised in class Estimatorpublic int getNumberOfOutputs()
getNumberOfOutputs in interface HasNumberOfOutputsgetNumberOfOutputs in class Estimatorpublic List<?> getClasses()
getClasses in interface HasClassespublic boolean hasProbabilityDistribution()
hasProbabilityDistribution in interface HasClassespublic 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 BinningProcess getBinningProcess()
public pandas.core.DataFrame getDFScorecard()
public Estimator getEstimator()
public Number getIntercept()
public String getScalingMethod()
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