Struct google_bigquery2::api::RegressionMetrics
source · 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>,
}
Expand description
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§
source§impl Clone for RegressionMetrics
impl Clone for RegressionMetrics
source§fn clone(&self) -> RegressionMetrics
fn clone(&self) -> RegressionMetrics
Returns a copy of the value. Read more
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source
. Read moresource§impl Debug for RegressionMetrics
impl Debug for RegressionMetrics
source§impl Default for RegressionMetrics
impl Default for RegressionMetrics
source§fn default() -> RegressionMetrics
fn default() -> RegressionMetrics
Returns the “default value” for a type. Read more
source§impl<'de> Deserialize<'de> for RegressionMetrics
impl<'de> Deserialize<'de> for RegressionMetrics
source§fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where __D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
source§impl Serialize for RegressionMetrics
impl Serialize for RegressionMetrics
impl Part for RegressionMetrics
Auto Trait Implementations§
impl RefUnwindSafe for RegressionMetrics
impl Send for RegressionMetrics
impl Sync for RegressionMetrics
impl Unpin for RegressionMetrics
impl UnwindSafe for RegressionMetrics
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more