pub enum ModelComplexity {
Simple,
Polynomial {
degree: u32,
},
NeuralNetwork {
hidden_layers: Vec<usize>,
},
}Expand description
ML model complexity for prediction algorithms
Variants§
Simple
Simple linear models
Polynomial
Polynomial features
NeuralNetwork
Neural network-based
Fields
Trait Implementations§
Source§impl Clone for ModelComplexity
impl Clone for ModelComplexity
Auto Trait Implementations§
impl Freeze for ModelComplexity
impl RefUnwindSafe for ModelComplexity
impl Send for ModelComplexity
impl Sync for ModelComplexity
impl Unpin for ModelComplexity
impl UnsafeUnpin for ModelComplexity
impl UnwindSafe for ModelComplexity
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
impl<ST, DT> CastableFrom<ST, Initialized, Initialized> for DT
impl<ST, DT> CastableFrom<ST, Uninit, Uninit> for DT
Source§impl<T> CloneToUninit for Twhere
T: Clone,
impl<T> CloneToUninit for Twhere
T: Clone,
Source§impl<T> IntoEither for T
impl<T> IntoEither for T
Source§fn into_either(self, into_left: bool) -> Either<Self, Self> ⓘ
fn into_either(self, into_left: bool) -> Either<Self, Self> ⓘ
Converts
self into a Left variant of Either<Self, Self>
if into_left is true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read moreSource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self> ⓘ
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self> ⓘ
Converts
self into a Left variant of Either<Self, Self>
if into_left(&self) returns true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read more