Struct google_bigquery2::EvaluationMetrics

pub struct EvaluationMetrics {
    pub clustering_metrics: Option<ClusteringMetrics>,
    pub regression_metrics: Option<RegressionMetrics>,
    pub binary_classification_metrics: Option<BinaryClassificationMetrics>,
    pub multi_class_classification_metrics: Option<MultiClassClassificationMetrics>,
}

Evaluation metrics of a model. These are either computed on all training data or just the eval data based on whether eval data was used during training. These are not present for imported models.

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

Fields

clustering_metrics: Option<ClusteringMetrics>

[Beta] Populated for clustering models.

regression_metrics: Option<RegressionMetrics>

Populated for regression models.

binary_classification_metrics: Option<BinaryClassificationMetrics>

Populated for binary classification/classifier models.

multi_class_classification_metrics: Option<MultiClassClassificationMetrics>

Populated for multi-class classification/classifier models.

Trait Implementations

impl Part for EvaluationMetrics

impl Default for EvaluationMetrics

fn default() -> EvaluationMetrics

Returns the "default value" for a type.

impl Clone for EvaluationMetrics

fn clone(&self) -> EvaluationMetrics

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for EvaluationMetrics

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

Formats the value using the given formatter.

impl Serialize for EvaluationMetrics

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

Serialize this value into the given Serde serializer.

impl<'de> Deserialize<'de> for EvaluationMetrics

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

Deserialize this value from the given Serde deserializer.