Struct google_bigquery2::api::RegressionMetrics

pub struct RegressionMetrics {
    pub mean_absolute_error: Option<f64>,
    pub mean_squared_error: Option<f64>,
    pub mean_squared_log_error: Option<f64>,
    pub median_absolute_error: Option<f64>,
    pub r_squared: Option<f64>,
}

Evaluation metrics for regression and explicit feedback type matrix factorization models.

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

Fields

mean_absolute_error: Option<f64>

Mean absolute error.

mean_squared_error: Option<f64>

Mean squared error.

mean_squared_log_error: Option<f64>

Mean squared log error.

median_absolute_error: Option<f64>

Median absolute error.

r_squared: Option<f64>

R^2 score. This corresponds to r2_score in ML.EVALUATE.

Trait Implementations

impl Clone for RegressionMetrics

fn clone(&self) -> RegressionMetrics

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for RegressionMetrics

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

Formats the value using the given formatter.

impl Default for RegressionMetrics

fn default() -> RegressionMetrics

Returns the "default value" for a type.

impl<'de> Deserialize<'de> for RegressionMetrics

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

Deserialize this value from the given Serde deserializer.

impl Part for RegressionMetrics

impl Serialize for RegressionMetrics

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

Serialize this value into the given Serde serializer.