public class GradientBoostingClassifier extends Classifier implements HasEstimatorEnsemble<DecisionTreeRegressor>, HasTreeOptions
OPTION_COMPACT, OPTION_FLAT| Constructor and Description |
|---|
GradientBoostingClassifier(java.lang.String module,
java.lang.String name) |
| Modifier and Type | Method and Description |
|---|---|
org.dmg.pmml.mining.MiningModel |
encodeModel(org.jpmml.converter.Schema schema) |
org.dmg.pmml.DataType |
getDataType() |
java.util.List<? extends DecisionTreeRegressor> |
getEstimators() |
HasPriorProbability |
getInit() |
java.lang.Number |
getLearningRate() |
LossFunction |
getLoss() |
int |
getNumberOfFeatures() |
getClasses, getMiningFunction, hasProbabilityDistribution, isSupervisedencodeModel, getOpTypegetOptionclear, clone, containsKey, containsValue, entrySet, get, isEmpty, keySet, put, putAll, remove, size, valuespublic GradientBoostingClassifier(java.lang.String module,
java.lang.String name)
public int getNumberOfFeatures()
getNumberOfFeatures in interface HasNumberOfFeaturesgetNumberOfFeatures in class Estimatorpublic org.dmg.pmml.DataType getDataType()
getDataType in class Estimatorpublic org.dmg.pmml.mining.MiningModel encodeModel(org.jpmml.converter.Schema schema)
encodeModel in class Estimatorpublic LossFunction getLoss()
public HasPriorProbability getInit()
public java.lang.Number getLearningRate()
public java.util.List<? extends DecisionTreeRegressor> getEstimators()
getEstimators in interface HasEstimatorEnsemble<DecisionTreeRegressor>Copyright © 2017. All Rights Reserved.