public class GradientBoostingClassifier extends SkLearnClassifier implements HasEstimatorEnsemble<TreeRegressor>, HasMultiDecisionFunctionField, HasTreeOptions
AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>FIELD_PROBABILITYFIELD_APPLY, FIELD_DECISION_FUNCTION, FIELD_PREDICTOPTION_ALLOW_MISSING, OPTION_COMPACT, OPTION_FLAT, OPTION_INPUT_FLOAT, OPTION_NODE_EXTENSIONS, OPTION_NODE_ID, OPTION_NODE_SCORE, OPTION_NUMERIC, OPTION_PRUNE, OPTION_WINNER_IDUNKNOWNUNKNOWN| Constructor and Description |
|---|
GradientBoostingClassifier(String module,
String name) |
| Modifier and Type | Method and Description |
|---|---|
org.dmg.pmml.Model |
configureModel(org.dmg.pmml.Model model) |
org.jpmml.converter.Schema |
configureSchema(org.jpmml.converter.Schema schema) |
org.dmg.pmml.mining.MiningModel |
encodeModel(org.jpmml.converter.Schema schema) |
org.dmg.pmml.DataType |
getDataType() |
List<TreeRegressor> |
getEstimators() |
HasPriorProbability |
getInit() |
Number |
getLearningRate() |
org.jpmml.python.PythonObject |
getLoss() |
int |
getNumberOfFeatures() |
encodePMMLcanonicalizeValue, canonicalizeValues, encodeLabel, encodeLabel, encodeLabel, encodePredictProbaOutput, getClasses, getClasses, getMiningFunction, getNumberOfOutputs, hasProbabilityDistribution, isSupervisedaddFeatureImportances, checkFeatures, checkLabel, createApplyField, createMultiApplyField, createPredictProbaFields, encode, encode, encodeApplyOutput, encodeMultiApplyOutput, extractArguments, getAlgorithmName, getFeatureImportances, 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, toStringfinalize, getClass, notify, notifyAll, wait, wait, waitgetMultiDecisionFunctionFieldgetNativeConfigurationgetFeatureNamesInpublic int getNumberOfFeatures()
getNumberOfFeatures in interface HasNumberOfFeaturesgetNumberOfFeatures in class Estimatorpublic org.dmg.pmml.DataType getDataType()
getDataType in interface HasTypegetDataType in class Estimatorpublic org.dmg.pmml.mining.MiningModel 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 List<TreeRegressor> getEstimators()
getEstimators in interface HasEstimatorEnsemble<TreeRegressor>public HasPriorProbability getInit()
public Number getLearningRate()
public org.jpmml.python.PythonObject getLoss()
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