public class GradientBoostingRegressor extends Regressor
AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>| Constructor and Description |
|---|
GradientBoostingRegressor(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<DecisionTreeRegressor> |
getEstimators() |
sklearn.ensemble.gradient_boosting.HasDefaultValue |
getInit() |
Number |
getLearningRate() |
int |
getNumberOfFeatures() |
getMiningFunction, isSupervisedencodeModel, getOpTypeclear, clone, compute, computeIfAbsent, computeIfPresent, containsKey, containsValue, entrySet, forEach, get, getOrDefault, isEmpty, keySet, merge, put, putAll, putIfAbsent, remove, remove, replace, replace, replaceAll, size, valuesequals, hashCode, toStringpublic 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 Number getLearningRate()
public List<DecisionTreeRegressor> getEstimators()
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