pub struct CDRModel {
pub coefficients: Vec<f64>,
pub r_squared: f64,
pub num_training_points: usize,
}Expand description
Trained CDR model
Fields§
§coefficients: Vec<f64>Regression coefficients
r_squared: f64R-squared value
num_training_points: usizeNumber of training points
Trait Implementations§
Source§impl<'de> Deserialize<'de> for CDRModel
impl<'de> Deserialize<'de> for CDRModel
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
Auto Trait Implementations§
impl Freeze for CDRModel
impl RefUnwindSafe for CDRModel
impl Send for CDRModel
impl Sync for CDRModel
impl Unpin for CDRModel
impl UnwindSafe for CDRModel
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impl<T> BorrowMut<T> for Twhere
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Mutably borrows from an owned value. Read more
Source§impl<T> CloneToUninit for Twhere
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impl<T> Pointable for T
Source§impl<T> Serialize for T
impl<T> Serialize for T
fn erased_serialize(&self, serializer: &mut dyn Serializer) -> Result<(), Error>
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Source§impl<SS, SP> SupersetOf<SS> for SPwhere
SS: SubsetOf<SP>,
impl<SS, SP> SupersetOf<SS> for SPwhere
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fn from_subset(element: &SS) -> SP
The inclusion map: converts
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