public class GradientBoostingRegressor extends Regressor implements HasEstimatorEnsemble<DecisionTreeRegressor>, HasTreeOptions
OPTION_COMPACT, OPTION_FLAT| Constructor and Description |
|---|
GradientBoostingRegressor(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() |
sklearn.ensemble.gradient_boosting.HasDefaultValue |
getInit() |
java.lang.Number |
getLearningRate() |
int |
getNumberOfFeatures() |
getMiningFunction, isSupervisedencodeModel, getOpTypegetOptionclear, clone, containsKey, containsValue, entrySet, get, isEmpty, keySet, put, putAll, remove, size, valuespublic GradientBoostingRegressor(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 sklearn.ensemble.gradient_boosting.HasDefaultValue getInit()
public java.lang.Number getLearningRate()
public java.util.List<? extends DecisionTreeRegressor> getEstimators()
getEstimators in interface HasEstimatorEnsemble<DecisionTreeRegressor>Copyright © 2017. All Rights Reserved.