Struct WordErrorRate
pub struct WordErrorRate { /* private fields */ }Expand description
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 WordErrorRate
impl WordErrorRate
pub fn new() -> WordErrorRate
pub fn new() -> WordErrorRate
Creates the metric.
pub fn with_pad_token(self, index: usize) -> WordErrorRate
pub fn with_pad_token(self, index: usize) -> WordErrorRate
Sets the pad token.
Trait Implementations§
§impl Clone for WordErrorRate
impl Clone for WordErrorRate
§fn clone(&self) -> WordErrorRate
fn clone(&self) -> WordErrorRate
Returns a duplicate of the value. Read more
1.0.0 (const: unstable) · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source. Read more§impl Default for WordErrorRate
impl Default for WordErrorRate
§fn default() -> WordErrorRate
fn default() -> WordErrorRate
Returns the “default value” for a type. Read more
§impl Metric for WordErrorRate
impl Metric for WordErrorRate
§fn update(
&mut self,
input: &WerInput,
_metadata: &MetricMetadata,
) -> Result<SerializedEntry, TensorReadError>
fn update( &mut self, input: &WerInput, _metadata: &MetricMetadata, ) -> Result<SerializedEntry, TensorReadError>
Update the metric state and returns the current metric entry. Read more
§fn compute(&mut self) -> Result<SerializedEntry, TensorReadError>
fn compute(&mut self) -> Result<SerializedEntry, TensorReadError>
Compute the final metric value. Read more
§fn attributes(&self) -> MetricAttributes
fn attributes(&self) -> MetricAttributes
Attributes of the metric. Read more
§fn description(&self) -> Option<String>
fn description(&self) -> Option<String>
A short description of the metric.
§impl Numeric for WordErrorRate
impl Numeric for WordErrorRate
§fn value(&self) -> Option<NumericEntry>
fn value(&self) -> Option<NumericEntry>
Returns the numeric value of the metric, or
None if this metric has
no meaningful value yet (e.g. it only accumulates state per batch and
computes its value once all state has been accumulated).§fn running_value(&self) -> Option<NumericEntry>
fn running_value(&self) -> Option<NumericEntry>
Returns the current aggregated value of the metric over the global step,
or
None if this metric has no meaningful value yet (e.g. it only accumulates state
per batch and computes its value once all state has been accumulated).§fn final_value(&self) -> NumericEntry
fn final_value(&self) -> NumericEntry
Returns the final, authoritative value of the metric for the epoch.
Only meaningful after
Metric::compute has been called.Auto Trait Implementations§
impl Freeze for WordErrorRate
impl RefUnwindSafe for WordErrorRate
impl Send for WordErrorRate
impl Sync for WordErrorRate
impl Unpin for WordErrorRate
impl UnsafeUnpin for WordErrorRate
impl UnwindSafe for WordErrorRate
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Mutably borrows from an owned value. Read more
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Compare self to
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fn into_either(self, into_left: bool) -> Either<Self, Self>
Converts
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fn read_from_little_endian(read: &mut R) -> Result<Self, Error>
Read this value from the supplied reader. Same as
ReadEndian::read_from_little_endian().