Struct google_cloud_bigquery::http::model::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>,
}

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.

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 PartialEq for RegressionMetrics

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

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 RegressionMetrics