Package sklearn

Class Estimator

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

All Implemented Interfaces:

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

Direct Known Subclasses:

Classifier, Clusterer, EstimatorChain, EstimatorProxy, Link, Regressor

public abstract class Estimator
extends Step
implements HasNumberOfOutputs

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

Modifier and Type	Field	Description
static String	FIELD_APPLY
static String	FIELD_DECISION_FUNCTION
static String	FIELD_PREDICT

Fields inherited from interface sklearn.HasNumberOfFeatures

UNKNOWN

Fields inherited from interface sklearn.HasNumberOfOutputs

UNKNOWN

Constructor Summary

Constructors

Constructor	Description
Estimator(String module, String name)

Method Summary

Modifier and Type	Method	Description
void	addFeatureImportances(org.dmg.pmml.Model model, org.jpmml.converter.Schema schema)
void	checkFeatures(List<? extends org.jpmml.converter.Feature> features)
void	checkLabel(org.jpmml.converter.Label label)
org.dmg.pmml.Model	encode(org.jpmml.converter.Schema schema)
abstract org.dmg.pmml.Model	encodeModel(org.jpmml.converter.Schema schema)
String	getAlgorithmName()
org.dmg.pmml.DataType	getDataType()
List<? extends Number>	getFeatureImportances()
abstract org.dmg.pmml.MiningFunction	getMiningFunction()
int	getNumberOfFeatures()
int	getNumberOfOutputs()
Object	getOption(String key, Object defaultValue)
org.dmg.pmml.OpType	getOpType()
List<? extends Number>	getPMMLFeatureImportances()
Map<String,?>	getPMMLOptions()
String	getSkLearnVersion()
boolean	hasFeatureImportances()
boolean	isSupervised()
void	putOption(String key, Object value)
void	putOptions(Map<String,?> options)
Estimator	setPMMLFeatureImportances(List<? extends Number> pmmlFeatureImportances)
Estimator	setPMMLOptions(Map<String,?> pmmlOptions)

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

Field Detail

FIELD_APPLY

public static final String FIELD_APPLY

See Also:

Constant Field Values

FIELD_DECISION_FUNCTION

public static final String FIELD_DECISION_FUNCTION

See Also:

Constant Field Values

FIELD_PREDICT

public static final String FIELD_PREDICT

See Also:

Constant Field Values

Constructor Detail

Estimator

public Estimator(String module,
                 String name)

Method Detail

getMiningFunction

public abstract org.dmg.pmml.MiningFunction getMiningFunction()

encodeModel

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

getNumberOfFeatures

public int getNumberOfFeatures()

Specified by:

getNumberOfFeatures in interface HasNumberOfFeatures

getNumberOfOutputs

public int getNumberOfOutputs()

Specified by:

getNumberOfOutputs in interface HasNumberOfOutputs

getOpType

public org.dmg.pmml.OpType getOpType()

Specified by:

getOpType in interface HasType

getDataType

public org.dmg.pmml.DataType getDataType()

Specified by:

getDataType in interface HasType

isSupervised

public boolean isSupervised()

getAlgorithmName

public String getAlgorithmName()

encode

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

checkLabel

public void checkLabel(org.jpmml.converter.Label label)

checkFeatures

public void checkFeatures(List<? extends org.jpmml.converter.Feature> features)

addFeatureImportances

public void addFeatureImportances(org.dmg.pmml.Model model,
                                  org.jpmml.converter.Schema schema)

getOption

public Object getOption(String key,
                        Object defaultValue)

putOption

public void putOption(String key,
                      Object value)

putOptions

public void putOptions(Map<String,?> options)

hasFeatureImportances

public boolean hasFeatureImportances()

getFeatureImportances

public List<? extends Number> getFeatureImportances()

getPMMLFeatureImportances

public List<? extends Number> getPMMLFeatureImportances()

setPMMLFeatureImportances

public Estimator setPMMLFeatureImportances(List<? extends Number> pmmlFeatureImportances)

getPMMLOptions

public Map<String,?> getPMMLOptions()

setPMMLOptions

public Estimator setPMMLOptions(Map<String,?> pmmlOptions)

getSkLearnVersion

public String getSkLearnVersion()