pub struct HyperparameterSet<T: Float> {
pub hidden_layer_sizes: Vec<usize>,
pub learning_rate: T,
pub alpha: T,
pub activation: Activation,
pub max_iter: usize,
}Expand description
Hyperparameter combination
Fields§
Hidden layer architecture (number of neurons per layer)
learning_rate: TLearning rate for the optimizer
alpha: TL2 regularization coefficient
activation: ActivationActivation function applied to hidden layers
max_iter: usizeMaximum number of training epochs
Trait Implementations§
Auto Trait Implementations§
impl<T> Freeze for HyperparameterSet<T>where
T: Freeze,
impl<T> RefUnwindSafe for HyperparameterSet<T>where
T: RefUnwindSafe,
impl<T> Send for HyperparameterSet<T>where
T: Send,
impl<T> Sync for HyperparameterSet<T>where
T: Sync,
impl<T> Unpin for HyperparameterSet<T>where
T: Unpin,
impl<T> UnsafeUnpin for HyperparameterSet<T>where
T: UnsafeUnpin,
impl<T> UnwindSafe for HyperparameterSet<T>where
T: UnwindSafe,
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