Trait tfidf::Tf

pub trait Tf<T> where
    T: NaiveDocument, {
    fn tf<K>(term: K, doc: &T) -> f64
    where
        K: Borrow<T::Term>;
}

A strategy to calculate a weighted or unweighted term frequency (tf) score of a term from a document.

Required methods

fn tf<K>(term: K, doc: &T) -> f64 where
    K: Borrow<T::Term>, 

Returns the weighted or unweighted term frequency (tf) for a single term within a document.

Implementors

impl<T> Tf<T> for BinaryTf where
    T: NaiveDocument, 

fn tf<K>(term: K, doc: &T) -> f64 where
    K: Borrow<T::Term>, 

impl<T> Tf<T> for LogNormalizationTf where
    T: ProcessedDocument, 

fn tf<K>(term: K, doc: &T) -> f64 where
    K: Borrow<T::Term>, 

impl<T> Tf<T> for RawFrequencyTf where
    T: ProcessedDocument, 

fn tf<K>(term: K, doc: &T) -> f64 where
    K: Borrow<T::Term>, 

impl<T, S> Tf<T> for S where
    S: DoubleKNormalizationTf,
    T: ProcessedDocument, 

fn tf<K>(term: K, doc: &T) -> f64 where
    K: Borrow<T::Term>,