pub struct Metrics {
pub rmse: Option<f64>,
pub weighted_quantile_losses: Option<Vec<WeightedQuantileLoss>>,
}Expand description
Provides metrics that are used to evaluate the performance of a predictor. This object is part of the WindowSummary object.
Fields§
§rmse: Option<f64>The root mean square error (RMSE).
weighted_quantile_losses: Option<Vec<WeightedQuantileLoss>>An array of weighted quantile losses. Quantiles divide a probability distribution into regions of equal probability. The distribution in this case is the loss function.
Trait Implementations§
Source§impl<'de> Deserialize<'de> for Metrics
impl<'de> Deserialize<'de> for Metrics
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
impl StructuralPartialEq for Metrics
Auto Trait Implementations§
impl Freeze for Metrics
impl RefUnwindSafe for Metrics
impl Send for Metrics
impl Sync for Metrics
impl Unpin for Metrics
impl UnwindSafe for Metrics
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