sklearn.feature_extraction.text

Class CountVectorizer

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.Transformer

sklearn.SkLearnTransformer

sklearn.feature_extraction.text.CountVectorizer

All Implemented Interfaces:

Serializable, Cloneable, Map<String,Object>, Encodable, HasFeatureNamesIn, HasNumberOfFeatures, HasSparseOutput, HasType, HasPMMLName<Transformer>

Direct Known Subclasses:

TfidfVectorizer

public class CountVectorizer
extends SkLearnTransformer
implements HasSparseOutput

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	TOKEN_PATTERN

Fields inherited from interface sklearn.HasNumberOfFeatures

UNKNOWN

Constructor Summary

Constructors

Constructor and Description
CountVectorizer(String module, String name)

Method Summary

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

Methods inherited from class sklearn.SkLearnTransformer

encodePMML

Methods inherited from class sklearn.Transformer

checkFeatures, createFieldName, createFieldName, encode, getDType, getOptionalDType, refineWildcardFeature, setPMMLName, updateDataField, updateFeatures

Methods inherited from class sklearn.Step

checkSkLearnVersion, checkVersion, getFeatureNamesIn, getPMMLName, getSkLearnVersion

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

finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface sklearn.HasFeatureNamesIn

getFeatureNamesIn

Methods inherited from interface sklearn2pmml.HasPMMLName

getPMMLName

Methods inherited from interface java.util.Map

equals, hashCode

Field Detail

TOKEN_PATTERN

public static final String TOKEN_PATTERN

See Also:

Constant Field Values

Constructor Detail

CountVectorizer

public CountVectorizer(String module,
                       String name)

Method Detail

getNumberOfFeatures

public int getNumberOfFeatures()

Specified by:

getNumberOfFeatures in interface HasNumberOfFeatures

Overrides:

getNumberOfFeatures in class Transformer

getOpType

public org.dmg.pmml.OpType getOpType()

Specified by:

getOpType in interface HasType

Overrides:

getOpType in class Transformer

getDataType

public org.dmg.pmml.DataType getDataType()

Specified by:

getDataType in interface HasType

Overrides:

getDataType in class Transformer

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(org.jpmml.converter.Feature feature,
                                                        SkLearnEncoder encoder)

encodeApply

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

functionName

public String functionName()

getAnalyzer

public String getAnalyzer()

getBinary

public Boolean getBinary()

getDType

public org.jpmml.python.TypeInfo getDType()

getLowercase

public Boolean getLowercase()

getNGramRange

public Object[] getNGramRange()

getPreprocessor

public Object getPreprocessor()

getSparseOutput

public Boolean getSparseOutput()

Specified by:

getSparseOutput in interface HasSparseOutput

getStopWords

public List<String> getStopWords()

getStripAccents

public String getStripAccents()

getTokenizer

public Tokenizer getTokenizer()

getTokenPattern

public String getTokenPattern()

See Also:

TOKEN_PATTERN

getVocabulary

public Map<String,?> getVocabulary()