sklearn.linear_model.stochastic_gradient

Class SGDRegressor

java.lang.Object

java.util.AbstractMap<K,V>

java.util.HashMap<String,Object>

net.razorvine.pickle.objects.ClassDict

sklearn.BaseEstimator

sklearn.Estimator

sklearn.Regressor

sklearn.linear_model.BaseLinearRegressor

sklearn.linear_model.stochastic_gradient.SGDRegressor

All Implemented Interfaces:

Serializable, Cloneable, Map<String,Object>, HasNumberOfFeatures

public class SGDRegressor
extends BaseLinearRegressor

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>

Constructor Summary

Constructors

Constructor and Description
SGDRegressor(String module, String name)

Method Summary

Methods inherited from class sklearn.linear_model.BaseLinearRegressor

encodeModel, getCoef, getIntercept, getNumberOfFeatures

Methods inherited from class sklearn.Regressor

getMiningFunction, isSupervised

Methods inherited from class sklearn.Estimator

encodeModel, getDataType, getOpType

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

__setstate__, getClassName

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

SGDRegressor

public SGDRegressor(String module,
                    String name)