Uses of Class
weka.core.tokenizers.Tokenizer
Packages that use Tokenizer
Package
Description
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Uses of Tokenizer in weka.classifiers.bayes
Methods in weka.classifiers.bayes that return TokenizerModifier and TypeMethodDescriptionNaiveBayesMultinomialText.getTokenizer()Returns the current tokenizer algorithm.Methods in weka.classifiers.bayes with parameters of type TokenizerModifier and TypeMethodDescriptionvoidNaiveBayesMultinomialText.setTokenizer(Tokenizer value) the tokenizer algorithm to use. -
Uses of Tokenizer in weka.classifiers.functions
Methods in weka.classifiers.functions that return TokenizerModifier and TypeMethodDescriptionSGDText.getTokenizer()Returns the current tokenizer algorithm.Methods in weka.classifiers.functions with parameters of type TokenizerModifier and TypeMethodDescriptionvoidSGDText.setTokenizer(Tokenizer value) the tokenizer algorithm to use. -
Uses of Tokenizer in weka.core
Modifier and TypeMethodDescriptionDictionaryBuilder.getTokenizer()Returns the current tokenizer algorithm.Modifier and TypeMethodDescriptionvoidDictionaryBuilder.setTokenizer(Tokenizer value) the tokenizer algorithm to use. -
Uses of Tokenizer in weka.core.converters
Methods in weka.core.converters that return TokenizerModifier and TypeMethodDescriptionDictionarySaver.getTokenizer()Returns the current tokenizer algorithm.Methods in weka.core.converters with parameters of type TokenizerModifier and TypeMethodDescriptionvoidDictionarySaver.setTokenizer(Tokenizer value) the tokenizer algorithm to use. -
Uses of Tokenizer in weka.core.tokenizers
Subclasses of Tokenizer in weka.core.tokenizersModifier and TypeClassDescriptionclassAlphabetic string tokenizer, tokens are to be formed only from contiguous alphabetic sequences.classAbstract superclass for tokenizers that take characters as delimiters.classSplits a string into an n-gram with min and max grams.classSplits a string into an n-gram with min and max grams.classA simple tokenizer that is using the java.util.StringTokenizer class to tokenize the strings.Methods in weka.core.tokenizers with parameters of type TokenizerModifier and TypeMethodDescriptionstatic voidTokenizer.runTokenizer(Tokenizer tokenizer, String[] options) initializes the given tokenizer with the given options and runs the tokenizer over all the remaining strings in the options array.static String[]initializes the given tokenizer with the given options and runs the tokenizer over all the remaining strings in the options array. -
Uses of Tokenizer in weka.filters.unsupervised.attribute
Methods in weka.filters.unsupervised.attribute that return TokenizerModifier and TypeMethodDescriptionFixedDictionaryStringToWordVector.getTokenizer()Returns the current tokenizer algorithm.StringToWordVector.getTokenizer()Returns the current tokenizer algorithm.Methods in weka.filters.unsupervised.attribute with parameters of type TokenizerModifier and TypeMethodDescriptionvoidFixedDictionaryStringToWordVector.setTokenizer(Tokenizer value) the tokenizer algorithm to use.voidStringToWordVector.setTokenizer(Tokenizer value) the tokenizer algorithm to use.