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Versions in this module

v1

v1.3.0

Feb 28, 2026

v1.2.2

Feb 28, 2026

v1.2.1

Feb 28, 2026

v1.2.0

Feb 28, 2026

Changes in this version

+ type Model struct

+ Count []uint64

+ DictCount uint64

+ DocumentCount uint64

+ Probabilities []float64

+ Words map[string]Word

type NaiveBayes

+ func NewNaiveBayesFromFile(modelFilepath string, sanitize func(rune) bool) (*NaiveBayes, error)

+ func NewNaiveBayesFromModel(m Model, sanitize func(rune) bool) *NaiveBayes

+ func (b *NaiveBayes) PersistModelToFile(path string, enableGZip bool) error

+ func (b *NaiveBayes) ToModel() Model

type SimpleTokenizer

+ func NewDefaultTokenizer() *SimpleTokenizer

v1.1.0

Feb 27, 2026

Changes in this version

type SimpleTokenizer

+ func NewDefaultSanitizer() *SimpleTokenizer

v1.0.0

Feb 27, 2026

Changes in this version

+ type Frequencies []Frequency

+ func TermFrequencies(document []string) Frequencies

+ func (f Frequencies) Len() int

+ func (f Frequencies) Less(i, j int) bool

+ func (f Frequencies) Swap(i, j int)

+ type Frequency struct

+ Frequency float64

+ TFIDF float64

+ Word string

+ type NaiveBayes struct

+ Count []uint64

+ DictCount uint64

+ DocumentCount uint64

+ Output io.Writer

+ Probabilities []float64

+ Tokenizer Tokenizer

+ Words concurrentMap

+ func NewNaiveBayes(stream <-chan base.TextDatapoint, classes uint8, sanitize func(rune) bool) *NaiveBayes

+ func (b *NaiveBayes) OnlineLearn(errors chan<- error)

+ func (b *NaiveBayes) PersistToFile(path string) error

+ func (b *NaiveBayes) Predict(sentence string) uint8

+ func (b *NaiveBayes) Probability(sentence string) (uint8, float64)

+ func (b *NaiveBayes) Restore(data []byte) error

+ func (b *NaiveBayes) RestoreFromFile(path string) error

+ func (b *NaiveBayes) RestoreWithFuncs(data io.Reader, sanitizer func(rune) bool, tokenizer Tokenizer) error

+ func (b *NaiveBayes) String() string

+ func (b *NaiveBayes) UpdateSanitize(sanitize func(rune) bool)

+ func (b *NaiveBayes) UpdateStream(stream chan base.TextDatapoint)

+ func (b *NaiveBayes) UpdateTokenizer(tokenizer Tokenizer)

+ type SimpleTokenizer struct

+ SplitOn string

+ func (t *SimpleTokenizer) Tokenize(sentence string) []string

+ type TFIDF NaiveBayes

+ func (t *TFIDF) InverseDocumentFrequency(word string) float64

+ func (t *TFIDF) MostImportantWords(sentence string, n int) Frequencies

+ func (t *TFIDF) TFIDF(word string, sentence string) float64

+ func (t *TFIDF) TermFrequency(word string, document []string) float64

+ type Tokenizer interface

+ Tokenize func(string) []string

+ type Word struct

+ Count []uint64

+ DocsSeen uint64

+ Seen uint64