A B C D E F G H I J K L M N O P Q R S T U V W X

S

saveModel() - Method in class KEAModelBuilder
Saves the extraction model to the file.
SerializedObject - Class in weka.core
This class stores an object serialized in memory.
SerializedObject(Object) - Constructor for class weka.core.SerializedObject
Serializes the supplied object into a byte array without compression.
SerializedObject(Object, boolean) - Constructor for class weka.core.SerializedObject
Serializes the supplied object into a byte array.
setAdditionalInfo(boolean) - Method in class KEAKeyphraseExtractor
Set the value of AdditionalInfo.
setAttributeIndices(String) - Method in class KEAPhraseFilter
Set which attributes are to be processed
setAttributeIndices(String) - Method in class weka.filters.DiscretizeFilter
Sets which attributes are to be Discretized (only numeric attributes among the selection will be Discretized).
setAttributeIndicesArray(int[]) - Method in class KEAPhraseFilter
Set which attributes are to be processed
setAttributeIndicesArray(int[]) - Method in class weka.filters.DiscretizeFilter
Sets which attributes are to be Discretized (only numeric attributes among the selection will be Discretized).
setBins(int) - Method in class weka.filters.DiscretizeFilter
Sets the number of bins to divide each selected numeric attribute into
setCapacity(int) - Method in class weka.core.FastVector
Sets the vector's capacity to the given value.
setCheckForProperNouns(boolean) - Method in class KEAFilter
Set the M_CheckProperNouns value.
setCheckForProperNouns(boolean) - Method in class KEAModelBuilder
Set the M_CheckProperNouns value.
setClass(Attribute) - Method in class weka.core.Instances
Sets the class attribute.
setClassifier(Classifier) - Method in class weka.classifiers.FilteredClassifier
Sets the classifier
setClassIndex(int) - Method in class weka.core.Instances
Sets the class index of the set.
setClassMissing() - Method in class weka.core.Instance
Sets the class value of an instance to be "missing".
setClassValue(double) - Method in class weka.core.Instance
Sets the class value of an instance to the given value (internal floating-point format).
setClassValue(String) - Method in class weka.core.Instance
Sets the class value of an instance to the given value.
setDataset(Instances) - Method in class weka.core.Instance
Sets the reference to the dataset.
setDebug(boolean) - Method in class KEAFilter
Set the value of Debug.
setDebug(boolean) - Method in class KEAKeyphraseExtractor
Set the value of debug.
setDebug(boolean) - Method in class KEAModelBuilder
Set the value of debug.
setDirName(String) - Method in class KEAKeyphraseExtractor
Set the value of dirName.
setDirName(String) - Method in class KEAModelBuilder
Set the value of dirName.
setDisallowInternalPeriods(boolean) - Method in class KEAFilter
Set whether selected columns should be processed.
setDisallowInternalPeriods(boolean) - Method in class KEAPhraseFilter
Set whether selected columns should be processed.
setDisallowIPeriods(boolean) - Method in class KEAModelBuilder
Set the value of disallowIPeriods.
setDocumentAtt(int) - Method in class KEAFilter
Set the value of DocumentAtt.
setElementAt(Object, int) - Method in class weka.core.FastVector
Sets the element at the given index.
setEncoding(String) - Method in class KEAKeyphraseExtractor
Set the value of encoding.
setEncoding(String) - Method in class KEAModelBuilder
Set the value of encoding.
setFilter(Filter) - Method in class weka.classifiers.FilteredClassifier
Sets the filter
setFindNumBins(boolean) - Method in class weka.filters.DiscretizeFilter
Set the value of FindNumBins.
setInputFormat(Instances) - Method in class KEAFilter
Sets the format of the input instances.
setInputFormat(Instances) - Method in class KEAPhraseFilter
Sets the format of the input instances.
setInputFormat(Instances) - Method in class NumbersFilter
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.DiscretizeFilter
Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.Filter
Sets the format of the input instances.
setInvert(boolean) - Method in class weka.core.Range
Sets whether the range sense is inverted, i.e.
setInvertSelection(boolean) - Method in class KEAPhraseFilter
Set whether selected columns should be processed.
setInvertSelection(boolean) - Method in class weka.filters.DiscretizeFilter
Sets whether selected columns should be removed or kept.
setKeyphrasesAtt(int) - Method in class KEAFilter
Set the value of KeyphrasesAtt.
setKFused(boolean) - Method in class KEAFilter
Sets whether keyphrase frequency attribute is used.
setMakeBinary(boolean) - Method in class weka.filters.DiscretizeFilter
Sets whether binary attributes should be made for discretized ones.
setMaxPhraseLength(int) - Method in class KEAFilter
Set the value of MaxPhraseLength.
setMaxPhraseLength(int) - Method in class KEAModelBuilder
Set the value of MaxPhraseLength.
setMinNumOccur(int) - Method in class KEAFilter
Set the value of MinNumOccur.
setMinNumOccur(int) - Method in class KEAModelBuilder
Set the value of MinNumOccur.
setMinPhraseLength(int) - Method in class KEAFilter
Set the value of MinPhraseLength.
setMinPhraseLength(int) - Method in class KEAModelBuilder
Set the value of MinPhraseLength.
setMissing(int) - Method in class weka.core.Instance
Sets a specific value to be "missing".
setMissing(Attribute) - Method in class weka.core.Instance
Sets a specific value to be "missing".
setModelName(String) - Method in class KEAKeyphraseExtractor
Set the value of modelName.
setModelName(String) - Method in class KEAModelBuilder
Set the value of modelName.
setNumFeature() - Method in class KEAFilter
Sets whether Vocabulary relation attribute is used.
setNumPhrases(int) - Method in class KEAFilter
Set the value of numPhrases.
setNumPhrases(int) - Method in class KEAKeyphraseExtractor
Set the value of numPhrases.
setOptions(String[]) - Method in class KEAFilter
Parses a given list of options controlling the behaviour of this object.
setOptions(String[]) - Method in class KEAKeyphraseExtractor
Parses a given list of options controlling the behaviour of this object.
setOptions(String[]) - Method in class KEAModelBuilder
Parses a given list of options controlling the behaviour of this object.
setOptions(String[]) - Method in class KEAPhraseFilter
Parses a given list of options controlling the behaviour of this object.
setOptions(String[]) - Method in class weka.classifiers.FilteredClassifier
Parses a given list of options.
setOptions(String[]) - Method in interface weka.core.OptionHandler
Sets the OptionHandler's options using the given list.
setOptions(String[]) - Method in class weka.filters.DiscretizeFilter
Parses the options for this object.
setRanges(String) - Method in class weka.core.Range
Sets the ranges from a string representation.
setRelationName(String) - Method in class weka.core.Instances
Sets the relation's name.
setStemmer(Stemmer) - Method in class KEAFilter
Set the Stemmer value.
setStemmer(Stemmer) - Method in class KEAKeyphraseExtractor
Set the Stemmer value.
setStemmer(Stemmer) - Method in class KEAModelBuilder
Set the Stemmer value.
setStemmer(Stemmer) - Method in class Vocabulary
Set the Stemmer value.
setStopwords(Stopwords) - Method in class KEAFilter
Set the M_Stopwords value.
setStopwords(Stopwords) - Method in class KEAModelBuilder
Set the M_Stopwords value.
setStopwords(Stopwords) - Method in class Vocabulary
Set the M_Stopwords value.
setUpper(int) - Method in class weka.core.Range
Sets the value of "last".
setUseBetterEncoding(boolean) - Method in class weka.filters.DiscretizeFilter
Sets whether better encoding is to be used for MDL.
setUseEqualFrequency(boolean) - Method in class weka.filters.DiscretizeFilter
Set the value of UseEqualFrequency.
setUseKFrequency(boolean) - Method in class KEAModelBuilder
Set the value of useKFrequency.
setUseKononenko(boolean) - Method in class weka.filters.DiscretizeFilter
Sets whether Kononenko's MDL criterion is to be used.
setUseMDL(boolean) - Method in class weka.filters.DiscretizeFilter
Sets whether MDL will be used as the discretisation method.
setValue(int, double) - Method in class weka.core.Instance
Sets a specific value in the instance to the given value (internal floating-point format).
setValue(int, String) - Method in class weka.core.Instance
Sets a value of a nominal or string attribute to the given value.
setValue(Attribute, double) - Method in class weka.core.Instance
Sets a specific value in the instance to the given value (internal floating-point format).
setValue(Attribute, String) - Method in class weka.core.Instance
Sets a value of an nominal or string attribute to the given value.
setValue(int, double) - Method in class weka.core.SparseInstance
Sets a specific value in the instance to the given value (internal floating-point format).
setValueSparse(int, double) - Method in class weka.core.Instance
Sets a specific value in the instance to the given value (internal floating-point format).
setValueSparse(int, double) - Method in class weka.core.SparseInstance
Sets a specific value in the instance to the given value (internal floating-point format).
setVocabulary(String) - Method in class KEAFilter
Set the M_Vocabulary value.
setVocabulary(String) - Method in class KEAKeyphraseExtractor
Set the value of vocabulary name.
setVocabulary(String) - Method in class KEAModelBuilder
Set the value of vocabulary name.
setVocabularyFormat(String) - Method in class KEAFilter
Set the M_VocabularyFormat value.
setVocabularyFormat(String) - Method in class KEAKeyphraseExtractor
Set the value of vocabulary format.
setVocabularyFormat(String) - Method in class KEAModelBuilder
Set the value of vocabulary format.
setWeight(double) - Method in class weka.core.Instance
Sets the weight of an instance.
size() - Method in class weka.core.FastVector
Returns the vector's current size.
size() - Method in class weka.core.Queue
Gets queue's size.
SKOS - Static variable in class Vocabulary
Location of the rdf version of the controlled vocabulary it needs to be in the SKOS format!
sm(double, double) - Static method in class weka.core.Utils
Tests if a is smaller than b.
SMALL - Static variable in class weka.core.Utils
The small deviation allowed in double comparisons
smOrEq(double, double) - Static method in class weka.core.Utils
Tests if a is smaller or equal to b.
sort(String[]) - Static method in class KEAFilter
Sorts an array of Strings into alphabetic order
sort(String[]) - Static method in class Vocabulary
Sorts an array of Strings into alphabetic order
sort(int) - Method in class weka.core.Instances
Sorts the instances based on an attribute.
sort(Attribute) - Method in class weka.core.Instances
Sorts the instances based on an attribute.
sort(int[]) - Static method in class weka.core.Utils
Sorts a given array of integers in ascending order and returns an array of integers with the positions of the elements of the original array in the sorted array.
sort(double[]) - Static method in class weka.core.Utils
Sorts a given array of doubles in ascending order and returns an array of integers with the positions of the elements of the original array in the sorted array.
SparseInstance - Class in weka.core
Class for storing an instance as a sparse vector.
SparseInstance(Instance) - Constructor for class weka.core.SparseInstance
Constructor that generates a sparse instance from the given instance.
SparseInstance(SparseInstance) - Constructor for class weka.core.SparseInstance
Constructor that copies the info from the given instance.
SparseInstance(double, double[]) - Constructor for class weka.core.SparseInstance
Constructor that generates a sparse instance from the given parameters.
SparseInstance(double, double[], int[], int) - Constructor for class weka.core.SparseInstance
Constructor that inititalizes instance variable with given values.
SparseInstance(int) - Constructor for class weka.core.SparseInstance
Constructor of an instance that sets weight to one, all values to be missing, and the reference to the dataset to null.
SpecialFunctions - Class in weka.core
Class implementing some mathematical functions.
SpecialFunctions() - Constructor for class weka.core.SpecialFunctions
 
split(String, String) - Method in class Vocabulary
Splits a string str at given character sequence (separator) into an array.
splitOptions(String) - Static method in class weka.core.Utils
Split up a string containing options into an array of strings, one for each option.
SremovalStemmer - Class in <Unnamed>
A basic stemmer that only performs the first step of the PorterStemmer algorithm: removing of the plural endings.
SremovalStemmer() - Constructor for class SremovalStemmer
 
stableSort(double[]) - Static method in class weka.core.Utils
Sorts a given array of doubles in ascending order and returns an array of integers with the positions of the elements of the original array in the sorted array.
Statistics - Class in weka.core
Class implementing some distributions, tests, etc.
Statistics() - Constructor for class weka.core.Statistics
 
Stats - Class in weka.experiment
A class to store simple statistics
Stats() - Constructor for class weka.experiment.Stats
 
stdDev - Variable in class weka.experiment.Stats
The std deviation of values at the last calculateDerived() call
stem(String) - Method in class GermanStemmer
Stemms the given term to an unique discriminator.
stem(String) - Method in class IteratedLovinsStemmer
Iterated stemming of the given word.
stem(String) - Method in class LovinsStemmer
Returns the stemmed version of the given word.
stem(String) - Method in class NoStemmer
 
stem(String) - Method in class PorterStemmer
 
stem(String) - Method in class SremovalStemmer
 
stem(String) - Method in class Stemmer
Iterated stemming of the given word.
Stemmer - Class in <Unnamed>
Abstract class for stemmers.
Stemmer() - Constructor for class Stemmer
 
stemString(String) - Method in class Stemmer
Stems everything in the given string.
Stopwords - Class in <Unnamed>
Class that can test whether a given string is a stop word.
Stopwords() - Constructor for class Stopwords
 
StopwordsEnglish - Class in <Unnamed>
Class that can test whether a given string is a stop word.
StopwordsEnglish() - Constructor for class StopwordsEnglish
 
StopwordsGerman - Class in <Unnamed>
Class that can test whether a given string is a stop word.
StopwordsGerman() - Constructor for class StopwordsGerman
 
stratify(int) - Method in class weka.core.Instances
Stratifies a set of instances according to its class values if the class attribute is nominal (so that afterwards a stratified cross-validation can be performed).
STRING - Static variable in class weka.core.Attribute
Constant set for attributes with string values.
stringFreeStructure() - Method in class weka.core.Instances
Create a copy of the structure, but "cleanse" string types (i.e.
stringValue(int) - Method in class weka.core.Instance
Returns the value of a nominal (or string) attribute for the instance.
stringValue(Attribute) - Method in class weka.core.Instance
Returns the value of a nominal (or string) attribute for the instance.
studentTConfidenceInterval(int, double, double) - Static method in class weka.core.Statistics
Computes absolute size of half of a student-t confidence interval for given degrees of freedom, probability, and observed value.
subtract(double) - Method in class weka.experiment.Stats
Removes a value to the observed values (no checking is done that the value being removed was actually added).
sum(double[]) - Static method in class weka.core.Utils
Computes the sum of the elements of an array of doubles.
sum(int[]) - Static method in class weka.core.Utils
Computes the sum of the elements of an array of integers.
sum - Variable in class weka.experiment.Stats
The sum of values seen
sumOfWeights() - Method in class weka.core.Instances
Computes the sum of all the instances' weights.
sumSq - Variable in class weka.experiment.Stats
The sum of values squared seen
swap(int, int, String[]) - Static method in class KEAFilter
 
swap(int, int, String[]) - Static method in class Vocabulary
overloaded swap method: exchange 2 locations in an array of Strings.
swap(int, int) - Method in class weka.core.FastVector
Swaps two elements in the vector.
symmetricalUncertainty(double[][]) - Static method in class weka.core.ContingencyTables
Calculates the symmetrical uncertainty for base 2.
synopsis() - Method in class weka.core.Option
Returns the option's synopsis.

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