Struct gcp_bigquery_client::model::aggregate_classification_metrics::AggregateClassificationMetrics
source · [−]pub struct AggregateClassificationMetrics {
pub roc_auc: Option<f64>,
pub precision: Option<f64>,
pub f_1_score: Option<f64>,
pub accuracy: Option<f64>,
pub threshold: Option<f64>,
pub log_loss: Option<f64>,
pub recall: Option<f64>,
}
Fields
roc_auc: Option<f64>
Area Under a ROC Curve. For multiclass this is a macro-averaged metric.
precision: Option<f64>
Precision is the fraction of actual positive predictions that had positive actual labels. For multiclass this is a macro-averaged metric treating each class as a binary classifier.
f_1_score: Option<f64>
The F1 score is an average of recall and precision. For multiclass this is a macro-averaged metric.
accuracy: Option<f64>
Accuracy is the fraction of predictions given the correct label. For multiclass this is a micro-averaged metric.
threshold: Option<f64>
Threshold at which the metrics are computed. For binary classification models this is the positive class threshold. For multi-class classfication models this is the confidence threshold.
log_loss: Option<f64>
Logarithmic Loss. For multiclass this is a macro-averaged metric.
recall: Option<f64>
Recall is the fraction of actual positive labels that were given a positive prediction. For multiclass this is a macro-averaged metric.
Trait Implementations
sourceimpl Clone for AggregateClassificationMetrics
impl Clone for AggregateClassificationMetrics
sourcefn clone(&self) -> AggregateClassificationMetrics
fn clone(&self) -> AggregateClassificationMetrics
Returns a copy of the value. Read more
1.0.0 · sourcefn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from source
. Read more
sourceimpl Default for AggregateClassificationMetrics
impl Default for AggregateClassificationMetrics
sourcefn default() -> AggregateClassificationMetrics
fn default() -> AggregateClassificationMetrics
Returns the “default value” for a type. Read more
sourceimpl<'de> Deserialize<'de> for AggregateClassificationMetrics
impl<'de> Deserialize<'de> for AggregateClassificationMetrics
sourcefn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
__D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
Auto Trait Implementations
impl RefUnwindSafe for AggregateClassificationMetrics
impl Send for AggregateClassificationMetrics
impl Sync for AggregateClassificationMetrics
impl Unpin for AggregateClassificationMetrics
impl UnwindSafe for AggregateClassificationMetrics
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