sklearn.neural_network

Class MLPRegressor

java.lang.Object

java.util.AbstractMap<K,V>

java.util.HashMap<String,Object>

net.razorvine.pickle.objects.ClassDict

org.jpmml.python.PythonObject

sklearn.Step

sklearn.Estimator

sklearn.Regressor

sklearn.neural_network.MLPRegressor

All Implemented Interfaces:

Serializable, Cloneable, Map<String,Object>, HasFeatureNamesIn, HasNumberOfFeatures, HasNumberOfOutputs, HasPMMLOptions<Estimator>, HasType

public class MLPRegressor
extends Regressor

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class java.util.AbstractMap

AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>

Nested classes/interfaces inherited from interface java.util.Map

Map.Entry<K,V>

Field Summary

Fields inherited from class sklearn.Estimator

FIELD_APPLY, FIELD_DECISION_FUNCTION, FIELD_PREDICT

Fields inherited from interface sklearn.HasNumberOfOutputs

UNKNOWN

Fields inherited from interface sklearn.HasNumberOfFeatures

UNKNOWN

Constructor Summary

Constructors

Constructor and Description
MLPRegressor(String module, String name)

Method Summary

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()

Methods inherited from class sklearn.Regressor

getMiningFunction

Methods inherited from class sklearn.Estimator

addFeatureImportances, checkFeatures, checkLabel, createApplyField, createMultiApplyField, createPredictProbaFields, encode, encode, encodeApplyOutput, encodeMultiApplyOutput, extractArguments, getAlgorithmName, getDataType, getFeatureImportances, getFeatureNamesIn, getNumberOfOutputs, getOption, getOpType, getPMMLFeatureImportances, getPMMLOptions, getPMMLSegmentId, hasFeatureImportances, isSupervised, putOption, putOptions, setPMMLFeatureImportances, setPMMLOptions, setPMMLSegmentId

Methods inherited from class sklearn.Step

checkVersion, getPMMLName, getSkLearnVersion, setPMMLName

Methods inherited from class org.jpmml.python.PythonObject

get, getArray, getArray, getArray, getArrayShape, getArrayShape, getBoolean, getBooleanArray, getClassName, getDict, getInteger, getIntegerArray, getList, getList, getListLike, getListLike, getNumber, getNumberArray, getObject, getOptional, getOptionalBoolean, getOptionalObject, getOptionalScalar, getOptionalString, getPythonModule, getPythonName, getPythonObject, getScalar, getString, getTuple, getTupleList, setClassName

Methods inherited from class net.razorvine.pickle.objects.ClassDict

__setstate__

Methods inherited from class java.util.HashMap

clear, clone, compute, computeIfAbsent, computeIfPresent, containsKey, containsValue, entrySet, forEach, get, getOrDefault, isEmpty, keySet, merge, put, putAll, putIfAbsent, remove, remove, replace, replace, replaceAll, size, values

Methods inherited from class java.util.AbstractMap

equals, hashCode, toString

Methods inherited from class java.lang.Object

finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.util.Map

equals, hashCode

Constructor Detail

MLPRegressor

public MLPRegressor(String module,
                    String name)

Method Detail

getNumberOfFeatures

public int getNumberOfFeatures()

Specified by:

getNumberOfFeatures in interface HasNumberOfFeatures

Overrides:

getNumberOfFeatures in class Estimator

encodeModel

public org.dmg.pmml.neural_network.NeuralNetwork encodeModel(org.jpmml.converter.Schema schema)

Specified by:

encodeModel in class Estimator

getActivation

public String getActivation()

getCoefs

public List<? extends org.jpmml.python.HasArray> getCoefs()

getIntercepts

public List<? extends org.jpmml.python.HasArray> getIntercepts()