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()
The
data type of active fields. |
List<DecisionTreeRegressor> |
getEstimators() |
sklearn.ensemble.gradient_boosting.HasDefaultValue |
getInit() |
Number |
getLearningRate() |
int |
getNumberOfFeatures() |
boolean |
requiresContinuousInput() |
createSchemacreateActiveFields, createTargetField, encodeDefineFunctions, getOpTypeclear, clone, containsKey, containsValue, entrySet, get, isEmpty, keySet, put, putAll, remove, size, valuesequals, hashCode, toStringpublic int getNumberOfFeatures()
getNumberOfFeatures in class Estimatorpublic boolean requiresContinuousInput()
requiresContinuousInput in class Estimatorpublic org.dmg.pmml.DataType getDataType()
Estimatordata type of active fields.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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