Struct JaroWinkler 

pub struct JaroWinkler {
    pub jaro: Jaro,
    pub prefix_weight: f64,
    pub max_prefix: usize,
}

Jaro-Winkler similarity is a variation of Jaro with a better rating for strings with a matching prefix.

The metric is always normalized on the interval from 0.0 to 1.0.

Fields

jaro: Jaro

The Jaro instance to use to calculate the classic Jaro similarity.

prefix_weight: f64

p is a scailing factor for how much Jaro score is adjusted for the common prefix. The default is 0.1, must not be higher than 1/ℓ where ℓ is the max_prefix value (4 by default).

max_prefix: usize

ℓ is the maximum length of the common prefix. The default is 4.

Trait Implementations

impl Algorithm<f64> for JaroWinkler

fn for_vec<E>(&self, s1: &[E], s2: &[E]) -> Result<f64>

where E: Eq + Hash,

Calculate distance/similarity for vectors.

fn for_iter<C, E>(&self, s1: C, s2: C) -> Result<R>

where C: Iterator<Item = E>, E: Eq + Hash,

Calculate distance/similarity for iterators.

fn for_str(&self, s1: &str, s2: &str) -> Result<R>

Calculate distance/similarity for strings.

fn for_words(&self, s1: &str, s2: &str) -> Result<R>

Calculate distance/similarity for words in strings.

fn for_bigrams(&self, s1: &str, s2: &str) -> Result<R>

Calculate distance/similarity for bigrams in strings.

impl Default for JaroWinkler

fn default() -> Self

Returns the “default value” for a type.