Package sklearn.naive_bayes

Class BernoulliNB

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.SkLearnClassifier

sklearn.naive_bayes.DiscreteNB

sklearn.naive_bayes.BernoulliNB

All Implemented Interfaces:

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

public class BernoulliNB
extends DiscreteNB

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

Fields inherited from interface sklearn.HasNumberOfOutputs

UNKNOWN

Constructor Summary

Constructors

Constructor	Description
BernoulliNB(String module, String name)

Method Summary

Modifier and Type	Method	Description
org.dmg.pmml.naive_bayes.BayesInputs	encodeBayesInputs(List<?> values, List<? extends org.jpmml.converter.Feature> features)
org.dmg.pmml.naive_bayes.NaiveBayesModel	encodeModel(org.jpmml.converter.Schema schema)
List<Integer>	getFeatureCount()
int[]	getFeatureCountShape()
int	getNumberOfFeatures()

Methods inherited from class sklearn.naive_bayes.DiscreteNB

getAlpha, getClassCount

Methods inherited from class sklearn.SkLearnClassifier

encodePMML

Methods inherited from class sklearn.Classifier

canonicalizeValue, canonicalizeValues, encodeLabel, encodePredictProbaOutput, getClasses, getMiningFunction, getNumberOfOutputs, hasProbabilityDistribution, isSupervised

Methods inherited from class sklearn.Estimator

addFeatureImportances, checkFeatures, checkLabel, configureModel, configureSchema, createApplyField, createMultiApplyField, createPredictProbaFields, encode, encode, encodeApplyOutput, encodeMultiApplyOutput, getAlgorithmName, getClassifierTags, getDataType, getFeatureImportances, getOption, getOpType, getPMMLCustomizations, getPMMLFeatureImportances, getPMMLOptions, getPMMLSegmentId, getRegressorTags, getTargetTags, hasFeatureImportances, putOption, putOptions, setPMMLCustomizations, setPMMLFeatureImportances, setPMMLOptions, setPMMLSegmentId

Methods inherited from class sklearn.Step

checkSkLearnVersion, checkVersion, getFeatureNamesIn, getInputTags, getPMMLName, getSkLearnTags, 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 sklearn.HasFeatureNamesIn

getFeatureNamesIn

Methods inherited from interface java.util.Map

equals, hashCode

Constructor Detail

BernoulliNB

public BernoulliNB(String module,
                   String name)

Method Detail

getNumberOfFeatures

public int getNumberOfFeatures()

Specified by:

getNumberOfFeatures in interface HasNumberOfFeatures

Overrides:

getNumberOfFeatures in class Estimator

encodeBayesInputs

public org.dmg.pmml.naive_bayes.BayesInputs encodeBayesInputs(List<?> values,
                                                              List<? extends org.jpmml.converter.Feature> features)

Specified by:

encodeBayesInputs in class DiscreteNB

encodeModel

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

Overrides:

encodeModel in class DiscreteNB

getFeatureCount

public List<Integer> getFeatureCount()

getFeatureCountShape

public int[] getFeatureCountShape()