sklearn.feature_extraction.text

Class CountVectorizer

java.lang.Object

java.util.AbstractMap<K,V>

java.util.HashMap<String,Object>

net.razorvine.pickle.objects.ClassDict

sklearn.Transformer

sklearn.feature_extraction.text.CountVectorizer

All Implemented Interfaces:

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

Direct Known Subclasses:

TfidfVectorizer

public class CountVectorizer
extends Transformer
implements HasNumberOfFeatures

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class java.util.AbstractMap

AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>

Constructor Summary

Constructors

Constructor and Description
CountVectorizer(String module, String name)

Method Summary

Methods

Modifier and Type	Method and Description
org.dmg.pmml.Apply	encodeApply(String function, org.jpmml.converter.Feature feature, int index, String term)
org.dmg.pmml.DefineFunction	encodeDefineFunction()
List<org.jpmml.converter.Feature>	encodeFeatures(List<org.jpmml.converter.Feature> features, SkLearnEncoder encoder)
String	getAnalyzer()
Boolean	getBinary()
org.dmg.pmml.DataType	getDataType()
Boolean	getLowercase()
Object[]	getNGramRange()
int	getNumberOfFeatures()
org.dmg.pmml.OpType	getOpType()
Object	getPreprocessor()
List<String>	getStopWords()
String	getStripAccents()
Splitter	getTokenizer()
String	getTokenPattern()
Map<String,Scalar>	getVocabulary()

Methods inherited from class sklearn.Transformer

createName, createName, getDType, name

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

__setstate__, getClassName

Methods inherited from class java.util.HashMap

clear, clone, containsKey, containsValue, entrySet, get, isEmpty, keySet, put, putAll, remove, 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

Constructor Detail

CountVectorizer

public CountVectorizer(String module,
               String name)

Method Detail

getOpType

public org.dmg.pmml.OpType getOpType()

Overrides:

getOpType in class Transformer

getDataType

public org.dmg.pmml.DataType getDataType()

Overrides:

getDataType in class Transformer

getNumberOfFeatures

public int getNumberOfFeatures()

Specified by:

getNumberOfFeatures in interface HasNumberOfFeatures

encodeFeatures

public List<org.jpmml.converter.Feature> encodeFeatures(List<org.jpmml.converter.Feature> features,
                                               SkLearnEncoder encoder)

Specified by:

encodeFeatures in class Transformer

encodeDefineFunction

public org.dmg.pmml.DefineFunction encodeDefineFunction()

encodeApply

public org.dmg.pmml.Apply encodeApply(String function,
                             org.jpmml.converter.Feature feature,
                             int index,
                             String term)

getAnalyzer

public String getAnalyzer()

getBinary

public Boolean getBinary()

getLowercase

public Boolean getLowercase()

getNGramRange

public Object[] getNGramRange()

getPreprocessor

public Object getPreprocessor()

getStopWords

public List<String> getStopWords()

getStripAccents

public String getStripAccents()

getTokenizer

public Splitter getTokenizer()

getTokenPattern

public String getTokenPattern()

getVocabulary

public Map<String,Scalar> getVocabulary()