public class MLPRegressor extends SkLearnRegressor
AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>FIELD_APPLY, FIELD_DECISION_FUNCTION, FIELD_PREDICTUNKNOWNUNKNOWN| Constructor and Description |
|---|
MLPRegressor(String module,
String name) |
| Modifier and Type | Method and Description |
|---|---|
org.dmg.pmml.neural_network.NeuralNetwork |
encodeModel(org.jpmml.converter.Schema schema) |
String |
getActivation() |
List<? extends org.jpmml.python.HasArray> |
getCoefs() |
List<? extends org.jpmml.python.HasArray> |
getIntercepts() |
int |
getNumberOfFeatures() |
encodePMMLencodeLabel, encodeLabel, getMiningFunction, getNumberOfOutputs, isSupervisedaddFeatureImportances, checkFeatures, checkLabel, createApplyField, createMultiApplyField, createPredictProbaFields, encode, encode, encodeApplyOutput, encodeMultiApplyOutput, extractArguments, getAlgorithmName, getDataType, getFeatureImportances, getOption, getOpType, getPMMLCustomizations, getPMMLFeatureImportances, getPMMLOptions, getPMMLSegmentId, hasFeatureImportances, putOption, putOptions, setPMMLCustomizations, setPMMLFeatureImportances, setPMMLOptions, setPMMLSegmentIdcheckSkLearnVersion, checkVersion, getFeatureNamesIn, getPMMLName, getSkLearnVersion, setPMMLNameget, getArray, getArray, getArray, getArrayShape, getArrayShape, getBoolean, getBooleanArray, getClassName, getDict, getInteger, getIntegerArray, getList, getList, getListLike, getListLike, getNumber, getNumberArray, getObject, getOptional, getOptionalBoolean, getOptionalBoolean, getOptionalInteger, getOptionalNumber, getOptionalObject, getOptionalScalar, getOptionalString, getPythonModule, getPythonName, getPythonObject, getScalar, getString, getStringArray, getTuple, getTupleList, setClassNameclear, clone, compute, computeIfAbsent, computeIfPresent, containsKey, containsValue, entrySet, forEach, get, getOrDefault, isEmpty, keySet, merge, put, putAll, putIfAbsent, remove, remove, replace, replace, replaceAll, size, valuesequals, hashCode, toStringfinalize, getClass, notify, notifyAll, wait, wait, waitgetFeatureNamesInpublic 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 String getActivation()
public List<? extends org.jpmml.python.HasArray> getCoefs()
public List<? extends org.jpmml.python.HasArray> getIntercepts()
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