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_COMPACT, OPTION_FLAT, 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.mining.MiningModel |
encodeModel(org.jpmml.converter.Schema schema) |
org.dmg.pmml.DataType |
getDataType() |
List<? extends TreeRegressor> |
getEstimators() |
HasPriorProbability |
getInit() |
Number |
getLearningRate() |
org.jpmml.python.PythonObject |
getLoss() |
int |
getNumberOfFeatures() |
encodePMMLencodeLabel, encodeLabel, encodeLabel, encodePredictProbaOutput, 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, setPMMLNameget, getArray, getArray, getArray, getArrayShape, getArrayShape, getBoolean, getBooleanArray, getClassName, getDict, getInteger, getIntegerArray, getList, getList, getListLike, getListLike, getNumber, getNumberArray, getObject, getOptional, getOptionalBoolean, getOptionalBoolean, getOptionalInteger, getOptionalNumber, getOptionalObject, getOptionalScalar, getOptionalString, getPythonModule, getPythonName, getPythonObject, getScalar, getString, getStringArray, 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, 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 List<? extends TreeRegressor> getEstimators()
getEstimators in interface HasEstimatorEnsemble<TreeRegressor>public HasPriorProbability getInit()
public Number getLearningRate()
public org.jpmml.python.PythonObject getLoss()
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