Struct WordErrorRate 

pub struct WordErrorRate<B: Backend> { /* private fields */ }

The word error rate (WER) metric, similar to the CER, is defined as the edit distance (e.g. Levenshtein distance) between the predicted and reference word sequences, divided by the total number of words in the reference. Here, the “units” within the sequences are words.

Implementations

impl<B: Backend> WordErrorRate<B>

pub fn new() -> Self

Creates the metric.

pub fn with_pad_token(self, index: usize) -> Self

Sets the pad token.

Trait Implementations

impl<B: Clone + Backend> Clone for WordErrorRate<B>

fn clone(&self) -> WordErrorRate<B>

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<B: Backend> Default for WordErrorRate<B>

fn default() -> Self

Returns the “default value” for a type.

impl<B: Backend> Metric for WordErrorRate<B>

type Input = WerInput<B>

The input type of the metric.

fn update( &mut self, input: &WerInput<B>, _metadata: &MetricMetadata, ) -> MetricEntry

Update the metric state and returns the current metric entry.

fn name(&self) -> MetricName

The parameterized name of the metric.

fn clear(&mut self)

Clear the metric state.

impl<B: Backend> Numeric for WordErrorRate<B>

The word error rate metric implementation.

fn value(&self) -> NumericEntry

Returns the numeric value of the metric.