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, HasPMMLOptions<Estimator>, HasPMMLSegmentId<Estimator>

Direct Known Subclasses:

Classifier, Clusterer, EstimatorChain, EstimatorProxy, Link, Regressor

public abstract class Estimator
extends Step
implements HasNumberOfOutputs, HasPMMLOptions<Estimator>, HasPMMLSegmentId<Estimator>

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

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

Fields inherited from interface sklearn.HasNumberOfOutputs

UNKNOWN

Fields inherited from interface sklearn.HasNumberOfFeatures

UNKNOWN

Constructor Summary

Constructors

Constructor and Description
Estimator(String module, String name)

Method Summary

Modifier and Type	Method and 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.OutputField	createApplyField(org.dmg.pmml.DataType dataType)
org.dmg.pmml.OutputField	createMultiApplyField(org.dmg.pmml.DataType dataType, String segmentId)
List<org.dmg.pmml.OutputField>	createPredictProbaFields(org.dmg.pmml.DataType dataType, org.jpmml.converter.CategoricalLabel categoricalLabel)
org.dmg.pmml.Model	encode(Object segmentId, org.jpmml.converter.Schema schema)
org.dmg.pmml.Model	encode(org.jpmml.converter.Schema schema)
org.dmg.pmml.OutputField	encodeApplyOutput(org.dmg.pmml.Model model, org.dmg.pmml.DataType dataType)
abstract org.jpmml.converter.Label	encodeLabel(List<String> names, SkLearnEncoder encoder)
abstract org.dmg.pmml.Model	encodeModel(org.jpmml.converter.Schema schema)
List<org.dmg.pmml.OutputField>	encodeMultiApplyOutput(org.dmg.pmml.Model model, org.dmg.pmml.DataType dataType, List<String> segmentIds)
protected static String	extractArguments(String function, String name)
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()
Object	getPMMLSegmentId()
boolean	hasFeatureImportances()
abstract boolean	isSupervised()
void	putOption(String key, Object value)
void	putOptions(Map<String,?> options)
Estimator	setPMMLFeatureImportances(List<? extends Number> pmmlFeatureImportances)
Estimator	setPMMLOptions(Map<String,?> pmmlOptions)
Estimator	setPMMLSegmentId(Object pmmlSegmentId)

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, 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()

isSupervised

public abstract boolean isSupervised()

encodeLabel

public abstract org.jpmml.converter.Label encodeLabel(List<String> names,
                                                      SkLearnEncoder encoder)

encodeModel

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

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

getNumberOfFeatures

public int getNumberOfFeatures()

Specified by:

getNumberOfFeatures in interface HasNumberOfFeatures

getNumberOfOutputs

public int getNumberOfOutputs()

Specified by:

getNumberOfOutputs in interface HasNumberOfOutputs

getAlgorithmName

public String getAlgorithmName()

encode

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

encode

public org.dmg.pmml.Model encode(Object segmentId,
                                 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()

Specified by:

getPMMLOptions in interface HasPMMLOptions<Estimator>

setPMMLOptions

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

Specified by:

setPMMLOptions in interface HasPMMLOptions<Estimator>

getPMMLSegmentId

public Object getPMMLSegmentId()

Specified by:

getPMMLSegmentId in interface HasPMMLSegmentId<Estimator>

setPMMLSegmentId

public Estimator setPMMLSegmentId(Object pmmlSegmentId)

Specified by:

setPMMLSegmentId in interface HasPMMLSegmentId<Estimator>

createPredictProbaFields

public List<org.dmg.pmml.OutputField> createPredictProbaFields(org.dmg.pmml.DataType dataType,
                                                               org.jpmml.converter.CategoricalLabel categoricalLabel)

createApplyField

public org.dmg.pmml.OutputField createApplyField(org.dmg.pmml.DataType dataType)

encodeApplyOutput

public org.dmg.pmml.OutputField encodeApplyOutput(org.dmg.pmml.Model model,
                                                  org.dmg.pmml.DataType dataType)

createMultiApplyField

public org.dmg.pmml.OutputField createMultiApplyField(org.dmg.pmml.DataType dataType,
                                                      String segmentId)

encodeMultiApplyOutput

public List<org.dmg.pmml.OutputField> encodeMultiApplyOutput(org.dmg.pmml.Model model,
                                                             org.dmg.pmml.DataType dataType,
                                                             List<String> segmentIds)

extractArguments

protected static String extractArguments(String function,
                                         String name)