public class MLPRegressor extends Regressor
| Constructor and Description |
|---|
MLPRegressor(java.lang.String module,
java.lang.String name) |
| Modifier and Type | Method and Description |
|---|---|
org.dmg.pmml.neural_network.NeuralNetwork |
encodeModel(org.jpmml.converter.Schema schema) |
java.lang.String |
getActivation() |
java.util.List<? extends HasArray> |
getCoefs() |
java.util.List<? extends HasArray> |
getIntercepts() |
int |
getNumberOfFeatures() |
getMiningFunction, isSupervisedencodeModel, getDataType, getOpTypegetOptionclear, clone, containsKey, containsValue, entrySet, get, isEmpty, keySet, put, putAll, remove, size, valuespublic int getNumberOfFeatures()
getNumberOfFeatures in interface HasNumberOfFeaturesgetNumberOfFeatures in class Estimatorpublic org.dmg.pmml.neural_network.NeuralNetwork encodeModel(org.jpmml.converter.Schema schema)
encodeModel in class Estimatorpublic java.lang.String getActivation()
public java.util.List<? extends HasArray> getCoefs()
public java.util.List<? extends HasArray> getIntercepts()
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