pub struct MomentumOptions {
pub learning_rate: f64,
pub momentum: f64,
pub nesterov: bool,
pub max_iter: usize,
pub tol: f64,
pub lr_schedule: LearningRateSchedule,
pub gradient_clip: Option<f64>,
pub batch_size: Option<usize>,
pub dampening: f64,
}
Expand description
Options for SGD with momentum optimization
Fields§
§learning_rate: f64
Learning rate (step size)
momentum: f64
Momentum coefficient (typically 0.9)
nesterov: bool
Use Nesterov accelerated gradient
max_iter: usize
Maximum number of iterations
tol: f64
Convergence tolerance
lr_schedule: LearningRateSchedule
Learning rate schedule
gradient_clip: Option<f64>
Gradient clipping threshold
batch_size: Option<usize>
Batch size for mini-batch optimization
dampening: f64
Dampening factor for momentum
Trait Implementations§
Source§impl Clone for MomentumOptions
impl Clone for MomentumOptions
Source§fn clone(&self) -> MomentumOptions
fn clone(&self) -> MomentumOptions
Returns a duplicate of the value. Read more
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source
. Read moreSource§impl Debug for MomentumOptions
impl Debug for MomentumOptions
Auto Trait Implementations§
impl Freeze for MomentumOptions
impl RefUnwindSafe for MomentumOptions
impl Send for MomentumOptions
impl Sync for MomentumOptions
impl Unpin for MomentumOptions
impl UnwindSafe for MomentumOptions
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impl<T> BorrowMut<T> for Twhere
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