Package sklearn.linear_model

Class LinearClassifier

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.Classifier

sklearn.linear_model.LinearClassifier

All Implemented Interfaces:

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

Direct Known Subclasses:

LinearDiscriminantAnalysis, LinearSVC, LogisticRegression, RidgeClassifier, SGDClassifier

public class LinearClassifier
extends Classifier

See Also:

• Serialized Form

Nested Class Summary

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

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

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

Map.Entry<K extends Object,V extends Object>

Field Summary

Fields inherited from class sklearn.Classifier

FIELD_PROBABILITY

Fields inherited from class sklearn.Estimator

FIELD_APPLY, FIELD_DECISION_FUNCTION, FIELD_PREDICT

Fields inherited from interface sklearn.HasNumberOfFeatures

UNKNOWN

Constructor Summary

Constructors

Constructor	Description
LinearClassifier(String module, String name)

Method Summary

Modifier and Type	Method	Description
org.dmg.pmml.Model	encodeModel(org.jpmml.converter.Schema schema)
List<? extends Number>	getCoef()
int[]	getCoefShape()
List<? extends Number>	getIntercept()
int	getNumberOfFeatures()

Methods inherited from class sklearn.Classifier

getClasses, getMiningFunction, hasProbabilityDistribution

Methods inherited from class sklearn.Estimator

addFeatureImportances, checkFeatures, checkLabel, encode, getDataType, getFeatureImportances, getOption, getOpType, getPMMLFeatureImportances, getPMMLOptions, getSkLearnVersion, hasFeatureImportances, isSupervised, putOption, putOptions, setPMMLFeatureImportances, setPMMLOptions

Methods inherited from class sklearn.Step

createFieldName, createFieldName, createFieldName, getPMMLName, 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 Details

LinearClassifier

public LinearClassifier(String module,
 String name)

Method Details

getNumberOfFeatures

public int getNumberOfFeatures()

Specified by:

getNumberOfFeatures in interface HasNumberOfFeatures

Overrides:

getNumberOfFeatures in class Estimator

encodeModel

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

Specified by:

encodeModel in class Estimator

getCoef

public List<? extends Number> getCoef()

getCoefShape

public int[] getCoefShape()

getIntercept

public List<? extends Number> getIntercept()