Struct google_cloud_bigquery::http::model::MultiClassClassificationMetrics

pub struct MultiClassClassificationMetrics {
    pub aggregate_classification_metrics: Option<AggregateClassificationMetrics>,
    pub confusion_matrix_list: Option<Vec<ConfusionMatrix>>,
}

Fields

aggregate_classification_metrics: Option<AggregateClassificationMetrics>

Aggregate classification metrics.

confusion_matrix_list: Option<Vec<ConfusionMatrix>>

Confusion matrix at different thresholds.

Trait Implementations

impl Clone for MultiClassClassificationMetrics

fn clone(&self) -> MultiClassClassificationMetrics

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for MultiClassClassificationMetrics

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

Formats the value using the given formatter.

impl Default for MultiClassClassificationMetrics

fn default() -> MultiClassClassificationMetrics

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for MultiClassClassificationMetrics

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

Deserialize this value from the given Serde deserializer.

impl PartialEq<MultiClassClassificationMetrics> for MultiClassClassificationMetrics

fn eq(&self, other: &MultiClassClassificationMetrics) -> 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 MultiClassClassificationMetrics

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 MultiClassClassificationMetrics