pub struct AdaptiveLearningConfig {
pub enable_online: bool,
pub lr_schedule: LearningRateSchedule,
pub initial_lr: f64,
pub min_lr: f64,
pub lr_decay: f64,
pub adaptation_window: usize,
pub plasticity_type: PlasticityType,
pub enable_homeostasis: bool,
pub target_activity: f64,
pub regulation_rate: f64,
pub enable_meta_learning: bool,
pub meta_update_frequency: usize,
}
Expand description
Adaptive learning configuration
Fields§
§enable_online: bool
Enable online learning
lr_schedule: LearningRateSchedule
Learning rate decay schedule
initial_lr: f64
Initial learning rate
min_lr: f64
Minimum learning rate
lr_decay: f64
Learning rate decay factor
adaptation_window: usize
Adaptation window size
plasticity_type: PlasticityType
Plasticity mechanisms
enable_homeostasis: bool
Homeostatic regulation
target_activity: f64
Target activity level
regulation_rate: f64
Activity regulation rate
enable_meta_learning: bool
Enable meta-learning
meta_update_frequency: usize
Meta-learning update frequency
Trait Implementations§
Source§impl Clone for AdaptiveLearningConfig
impl Clone for AdaptiveLearningConfig
Source§fn clone(&self) -> AdaptiveLearningConfig
fn clone(&self) -> AdaptiveLearningConfig
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 AdaptiveLearningConfig
impl Debug for AdaptiveLearningConfig
Source§impl Default for AdaptiveLearningConfig
impl Default for AdaptiveLearningConfig
Source§impl<'de> Deserialize<'de> for AdaptiveLearningConfig
impl<'de> Deserialize<'de> for AdaptiveLearningConfig
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 AdaptiveLearningConfig
impl RefUnwindSafe for AdaptiveLearningConfig
impl Send for AdaptiveLearningConfig
impl Sync for AdaptiveLearningConfig
impl Unpin for AdaptiveLearningConfig
impl UnwindSafe for AdaptiveLearningConfig
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 moreSource§impl<T> Pointable for T
impl<T> Pointable for T
Source§impl<SS, SP> SupersetOf<SS> for SPwhere
SS: SubsetOf<SP>,
impl<SS, SP> SupersetOf<SS> for SPwhere
SS: SubsetOf<SP>,
Source§fn to_subset(&self) -> Option<SS>
fn to_subset(&self) -> Option<SS>
The inverse inclusion map: attempts to construct
self
from the equivalent element of its
superset. Read moreSource§fn is_in_subset(&self) -> bool
fn is_in_subset(&self) -> bool
Checks if
self
is actually part of its subset T
(and can be converted to it).Source§fn to_subset_unchecked(&self) -> SS
fn to_subset_unchecked(&self) -> SS
Use with care! Same as
self.to_subset
but without any property checks. Always succeeds.Source§fn from_subset(element: &SS) -> SP
fn from_subset(element: &SS) -> SP
The inclusion map: converts
self
to the equivalent element of its superset.