Package sklearn

Class Estimator

java.lang.Object

java.util.AbstractMap<K,V>

java.util.HashMap<java.lang.String,java.lang.Object>

net.razorvine.pickle.objects.ClassDict

org.jpmml.python.PythonObject

sklearn.Step

sklearn.Estimator

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, java.util.Map<java.lang.String,java.lang.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

java.util.AbstractMap.SimpleEntry<K extends java.lang.Object,V extends java.lang.Object>, java.util.AbstractMap.SimpleImmutableEntry<K extends java.lang.Object,V extends java.lang.Object>

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

java.util.Map.Entry<K extends java.lang.Object,V extends java.lang.Object>

Field Summary

Fields

Modifier and Type	Field	Description
static java.lang.String	FIELD_APPLY
static java.lang.String	FIELD_DECISION_FUNCTION
static java.lang.String	FIELD_PREDICT

Fields inherited from interface sklearn.HasNumberOfFeatures

UNKNOWN

Fields inherited from interface sklearn.HasNumberOfOutputs

UNKNOWN

Constructor Summary

Constructors

Constructor	Description
Estimator(java.lang.String module, java.lang.String name)

Method Summary

Modifier and Type	Method	Description
void	addFeatureImportances(org.dmg.pmml.Model model, org.jpmml.converter.Schema schema)
void	checkFeatures(java.util.List<? extends org.jpmml.converter.Feature> features)
void	checkLabel(org.jpmml.converter.Label label)
org.dmg.pmml.Model	configureModel(org.dmg.pmml.Model model)
org.jpmml.converter.Schema	configureSchema(org.jpmml.converter.Schema schema)
org.dmg.pmml.OutputField	createApplyField(org.dmg.pmml.DataType dataType)
org.dmg.pmml.OutputField	createMultiApplyField(org.dmg.pmml.DataType dataType, java.lang.String segmentId)
java.util.List<org.dmg.pmml.OutputField>	createPredictProbaFields(org.dmg.pmml.DataType dataType, org.jpmml.converter.DiscreteLabel discreteLabel)
org.dmg.pmml.Model	encode(java.lang.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(java.util.List<java.lang.String> names, SkLearnEncoder encoder)
abstract org.dmg.pmml.Model	encodeModel(org.jpmml.converter.Schema schema)
java.util.List<org.dmg.pmml.OutputField>	encodeMultiApplyOutput(org.dmg.pmml.Model model, org.dmg.pmml.DataType dataType, java.util.List<java.lang.String> segmentIds)
java.lang.String	getAlgorithmName()
org.dmg.pmml.DataType	getDataType()
java.util.List<java.lang.Number>	getFeatureImportances()
abstract org.dmg.pmml.MiningFunction	getMiningFunction()
int	getNumberOfFeatures()
int	getNumberOfOutputs()
java.lang.Object	getOption(java.lang.String key, java.lang.Object defaultValue)
org.dmg.pmml.OpType	getOpType()
java.util.List<Customization>	getPMMLCustomizations()
java.util.List<java.lang.Number>	getPMMLFeatureImportances()
java.util.Map<java.lang.String,?>	getPMMLOptions()
java.lang.Object	getPMMLSegmentId()
boolean	hasFeatureImportances()
abstract boolean	isSupervised()
void	putOption(java.lang.String key, java.lang.Object value)
void	putOptions(java.util.Map<java.lang.String,?> options)
Estimator	setPMMLCustomizations(java.util.List<? extends Customization> pmmlCustomizations)
Estimator	setPMMLFeatureImportances(java.util.List<java.lang.Number> pmmlFeatureImportances)
Estimator	setPMMLOptions(java.util.Map<java.lang.String,?> pmmlOptions)
Estimator	setPMMLSegmentId(java.lang.Object pmmlSegmentId)

Methods inherited from class sklearn.Step

checkSkLearnVersion, checkVersion, getFeatureNamesIn, getPMMLName, getSkLearnVersion, setPMMLName

Methods inherited from class org.jpmml.python.PythonObject

containsKey, delattr, get, get, getArray, getArray, getArray, getArrayList, getArrayList, getArrayShape, getArrayShape, getattr, getattr, getBoolean, getBooleanArray, getClassName, getDict, getEnum, getEnumList, getIdentifiable, getInteger, getIntegerArray, getList, getList, getListLike, getListLike, getNumber, getNumberArray, getObject, getObjectArray, getObjectList, getOptional, getOptionalBoolean, getOptionalBoolean, getOptionalDict, getOptionalEnum, getOptionalIdentifiable, getOptionalInteger, getOptionalNumber, getOptionalObject, getOptionalScalar, getOptionalString, getOptionalTuple, getPythonModule, getPythonName, getScalar, getString, getStringArray, getStringList, getTuple, getTupleList, hasattr, put, putAll, remove, setattr, setClassName, update

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

__setstate__

Methods inherited from class java.util.HashMap

clear, clone, compute, computeIfAbsent, computeIfPresent, containsValue, entrySet, forEach, getOrDefault, isEmpty, keySet, merge, putIfAbsent, remove, replace, replace, replaceAll, size, values

Methods inherited from class java.util.AbstractMap

equals, hashCode, toString

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.util.Map

equals, hashCode

Field Detail

FIELD_APPLY

public static final java.lang.String FIELD_APPLY

See Also:

Constant Field Values

FIELD_DECISION_FUNCTION

public static final java.lang.String FIELD_DECISION_FUNCTION

See Also:

Constant Field Values

FIELD_PREDICT

public static final java.lang.String FIELD_PREDICT

See Also:

Constant Field Values

Constructor Detail

Estimator

public Estimator(java.lang.String module,
                 java.lang.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(java.util.List<java.lang.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 java.lang.String getAlgorithmName()

encode

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

encode

public org.dmg.pmml.Model encode(java.lang.Object segmentId,
                                 org.jpmml.converter.Schema schema)

configureSchema

public org.jpmml.converter.Schema configureSchema(org.jpmml.converter.Schema schema)

configureModel

public org.dmg.pmml.Model configureModel(org.dmg.pmml.Model model)

checkLabel

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

checkFeatures

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

addFeatureImportances

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

getOption

public java.lang.Object getOption(java.lang.String key,
                                  java.lang.Object defaultValue)

putOption

public void putOption(java.lang.String key,
                      java.lang.Object value)

putOptions

public void putOptions(java.util.Map<java.lang.String,?> options)

getPMMLCustomizations

public java.util.List<Customization> getPMMLCustomizations()

setPMMLCustomizations

public Estimator setPMMLCustomizations(java.util.List<? extends Customization> pmmlCustomizations)

hasFeatureImportances

public boolean hasFeatureImportances()

getFeatureImportances

public java.util.List<java.lang.Number> getFeatureImportances()

getPMMLFeatureImportances

public java.util.List<java.lang.Number> getPMMLFeatureImportances()

setPMMLFeatureImportances

public Estimator setPMMLFeatureImportances(java.util.List<java.lang.Number> pmmlFeatureImportances)

getPMMLOptions

public java.util.Map<java.lang.String,?> getPMMLOptions()

Specified by:

getPMMLOptions in interface HasPMMLOptions<Estimator>

setPMMLOptions

public Estimator setPMMLOptions(java.util.Map<java.lang.String,?> pmmlOptions)

Specified by:

setPMMLOptions in interface HasPMMLOptions<Estimator>

getPMMLSegmentId

public java.lang.Object getPMMLSegmentId()

Specified by:

getPMMLSegmentId in interface HasPMMLSegmentId<Estimator>

setPMMLSegmentId

public Estimator setPMMLSegmentId(java.lang.Object pmmlSegmentId)

Specified by:

setPMMLSegmentId in interface HasPMMLSegmentId<Estimator>

createPredictProbaFields

public java.util.List<org.dmg.pmml.OutputField> createPredictProbaFields(org.dmg.pmml.DataType dataType,
                                                                         org.jpmml.converter.DiscreteLabel discreteLabel)

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,
                                                      java.lang.String segmentId)

encodeMultiApplyOutput

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