public class GradientBoostingClassifier extends Classifier
AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>| 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<DecisionTreeRegressor> |
getEstimators() |
HasPriorProbability |
getInit() |
Number |
getLearningRate() |
LossFunction |
getLoss() |
int |
getNumberOfFeatures() |
getClasses, getMiningFunction, hasProbabilityDistribution, 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 LossFunction getLoss()
public HasPriorProbability getInit()
public Number getLearningRate()
public List<DecisionTreeRegressor> getEstimators()
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