#[non_exhaustive]pub struct Builder { /* private fields */ }Expand description
A builder for EntityRecognizerEvaluationMetrics
Implementations
sourceimpl Builder
impl Builder
sourcepub fn precision(self, input: f64) -> Self
pub fn precision(self, input: f64) -> Self
A measure of the usefulness of the recognizer results in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones.
sourcepub fn set_precision(self, input: Option<f64>) -> Self
pub fn set_precision(self, input: Option<f64>) -> Self
A measure of the usefulness of the recognizer results in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones.
sourcepub fn recall(self, input: f64) -> Self
pub fn recall(self, input: f64) -> Self
A measure of how complete the recognizer results are for the test data. High recall means that the recognizer returned most of the relevant results.
sourcepub fn set_recall(self, input: Option<f64>) -> Self
pub fn set_recall(self, input: Option<f64>) -> Self
A measure of how complete the recognizer results are for the test data. High recall means that the recognizer returned most of the relevant results.
sourcepub fn f1_score(self, input: f64) -> Self
pub fn f1_score(self, input: f64) -> Self
A measure of how accurate the recognizer results are for the test data. It is derived from the Precision and Recall values. The F1Score is the harmonic average of the two scores. For plain text entity recognizer models, the range is 0 to 100, where 100 is the best score. For PDF/Word entity recognizer models, the range is 0 to 1, where 1 is the best score.
sourcepub fn set_f1_score(self, input: Option<f64>) -> Self
pub fn set_f1_score(self, input: Option<f64>) -> Self
A measure of how accurate the recognizer results are for the test data. It is derived from the Precision and Recall values. The F1Score is the harmonic average of the two scores. For plain text entity recognizer models, the range is 0 to 100, where 100 is the best score. For PDF/Word entity recognizer models, the range is 0 to 1, where 1 is the best score.
sourcepub fn build(self) -> EntityRecognizerEvaluationMetrics
pub fn build(self) -> EntityRecognizerEvaluationMetrics
Consumes the builder and constructs a EntityRecognizerEvaluationMetrics
Trait Implementations
impl StructuralPartialEq for Builder
Auto Trait Implementations
impl RefUnwindSafe for Builder
impl Send for Builder
impl Sync for Builder
impl Unpin for Builder
impl UnwindSafe for Builder
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcefn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
sourceimpl<T> Instrument for T
impl<T> Instrument for T
sourcefn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
sourcefn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
sourceimpl<T> WithSubscriber for T
impl<T> WithSubscriber for T
sourcefn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
fn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
Attaches the provided Subscriber to this type, returning a
WithDispatch wrapper. Read more
sourcefn with_current_subscriber(self) -> WithDispatch<Self>
fn with_current_subscriber(self) -> WithDispatch<Self>
Attaches the current default Subscriber to this type, returning a
WithDispatch wrapper. Read more