sklearn.linear_model

Class LinearRegressor

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.SkLearnRegressor

sklearn.linear_model.LinearRegressor

All Implemented Interfaces:

Serializable, Cloneable, Map<String,Object>, org.jpmml.converter.HasOptions, Encodable, HasSkLearnOptions, HasFeatureNamesIn, HasNumberOfFeatures, HasNumberOfOutputs, HasType, HasPMMLOptions<Estimator>, HasPMMLSegmentId<Estimator>

Direct Known Subclasses:

GeneralizedLinearRegressor

public class LinearRegressor
extends SkLearnRegressor

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
LinearRegressor(String module, String name)

Method Summary

Modifier and Type	Method and Description
protected org.dmg.pmml.regression.RegressionModel	createRegression(List<? extends Number> coef, Number intercept, org.jpmml.converter.Schema schema)
org.dmg.pmml.Model	encodeModel(org.jpmml.converter.Schema schema)
List<? extends Number>	getCoef()
int[]	getCoefShape()
List<? extends Number>	getIntercept()
int	getNumberOfFeatures()
int	getNumberOfOutputs()

Methods inherited from class sklearn.SkLearnRegressor

encodePMML

Methods inherited from class sklearn.Regressor

encodeLabel, encodeLabel, getMiningFunction, isSupervised

Methods inherited from class sklearn.Estimator

addFeatureImportances, 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, setPMMLSegmentId

Methods inherited from class sklearn.Step

checkSkLearnVersion, checkVersion, getFeatureNamesIn, 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, getOptionalBoolean, getOptionalInteger, getOptionalNumber, getOptionalObject, getOptionalScalar, getOptionalString, getPythonModule, getPythonName, getPythonObject, getScalar, getString, getStringArray, 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 sklearn.HasFeatureNamesIn

getFeatureNamesIn

Methods inherited from interface java.util.Map

equals, hashCode

Constructor Detail

LinearRegressor

public LinearRegressor(String module,
                       String name)

Method Detail

getNumberOfFeatures

public int getNumberOfFeatures()

Specified by:

getNumberOfFeatures in interface HasNumberOfFeatures

Overrides:

getNumberOfFeatures in class Estimator

getNumberOfOutputs

public int getNumberOfOutputs()

Specified by:

getNumberOfOutputs in interface HasNumberOfOutputs

Overrides:

getNumberOfOutputs in class Regressor

encodeModel

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

Specified by:

encodeModel in class Estimator

createRegression

protected org.dmg.pmml.regression.RegressionModel createRegression(List<? extends Number> coef,
                                                                   Number intercept,
                                                                   org.jpmml.converter.Schema schema)

getCoef

public List<? extends Number> getCoef()

getCoefShape

public int[] getCoefShape()

getIntercept

public List<? extends Number> getIntercept()