pub enum Optimizer {
GradientDescent {
learning_rate: f64,
},
Adam {
learning_rate: f64,
beta1: f64,
beta2: f64,
epsilon: f64,
},
NaturalGradient {
learning_rate: f64,
regularization: f64,
},
BFGS,
QuantumNatural {
learning_rate: f64,
regularization: f64,
},
}
Expand description
Optimizer for QML models
Variants§
GradientDescent
Gradient descent
Adam
Adam optimizer
NaturalGradient
Natural gradient descent
BFGS
BFGS optimizer
QuantumNatural
Quantum natural gradient
Trait Implementations§
Auto Trait Implementations§
impl Freeze for Optimizer
impl RefUnwindSafe for Optimizer
impl Send for Optimizer
impl Sync for Optimizer
impl Unpin for Optimizer
impl UnwindSafe for Optimizer
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
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