Struct Jaro 

pub struct Jaro {}

Jaro similarity is calculated based on the number of transpositions to turn one string into the other.

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

See also JaroWinkler.

Trait Implementations

impl Algorithm<f64> for Jaro

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

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 Jaro

fn default() -> Jaro

Returns the “default value” for a type.