Struct google_cloud_bigquery::http::model::BinaryClassificationMetrics

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

Fields

aggregate_classification_metrics: Option<AggregateClassificationMetrics>

Aggregate classification metrics.

binary_confusion_matrix_list: Option<Vec<BinaryConfusionMatrix>>

Binary confusion matrix at multiple thresholds.

positive_label: Option<String>

Label representing the positive class.

negative_label: Option<String>

Label representing the negative class.

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 PartialEq for BinaryClassificationMetrics

fn eq(&self, other: &BinaryClassificationMetrics) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

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.

impl StructuralPartialEq for BinaryClassificationMetrics