Package sklearn.naive_bayes

Class DiscreteNB

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

All Implemented Interfaces:

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

Direct Known Subclasses:

BernoulliNB, CategoricalNB

public abstract class DiscreteNB
extends SkLearnClassifier

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
DiscreteNB(String module, String name)

Method Summary

Modifier and Type	Method	Description
abstract 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)
Number	getAlpha()
List<Integer>	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, getNumberOfFeatures, 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

DiscreteNB

public DiscreteNB(String module,
                  String name)

Method Detail

encodeBayesInputs

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

encodeModel

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

Specified by:

encodeModel in class Estimator

getAlpha

public Number getAlpha()

getClassCount

public List<Integer> getClassCount()