Struct google_bigquery2::BinaryClassificationMetrics

pub struct BinaryClassificationMetrics {
    pub negative_label: Option<String>,
    pub aggregate_classification_metrics: Option<AggregateClassificationMetrics>,
    pub positive_label: Option<String>,
    pub binary_confusion_matrix_list: Option<Vec<BinaryConfusionMatrix>>,
}

Evaluation metrics for binary classification/classifier models.

This type is not used in any activity, and only used as part of another schema.

Fields

negative_label: Option<String>

Label representing the negative class.

aggregate_classification_metrics: Option<AggregateClassificationMetrics>

Aggregate classification metrics.

positive_label: Option<String>

Label representing the positive class.

binary_confusion_matrix_list: Option<Vec<BinaryConfusionMatrix>>

Binary confusion matrix at multiple thresholds.

Trait Implementations

impl Clone for BinaryClassificationMetrics

fn clone(&self) -> BinaryClassificationMetrics

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for BinaryClassificationMetrics

fn fmt(&self, f: &mut Formatter) -> Result

Formats the value using the given formatter.

impl Default for BinaryClassificationMetrics

fn default() -> BinaryClassificationMetrics

Returns the "default value" for a type.

impl<'de> Deserialize<'de> for BinaryClassificationMetrics

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.

impl Part for BinaryClassificationMetrics

impl Serialize for BinaryClassificationMetrics

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
    __S: Serializer, 

Serialize this value into the given Serde serializer.