pub struct AdaptiveOptimizerSelector<A: Float> { /* private fields */ }Expand description
Adaptive optimizer selector
Implementations§
Source§impl<A: Float + ScalarOperand + Debug + FromPrimitive + Send + Sync> AdaptiveOptimizerSelector<A>
impl<A: Float + ScalarOperand + Debug + FromPrimitive + Send + Sync> AdaptiveOptimizerSelector<A>
Sourcepub fn new(strategy: SelectionStrategy) -> Self
pub fn new(strategy: SelectionStrategy) -> Self
Create a new adaptive optimizer selector
Sourcepub fn set_problem(&mut self, problem: ProblemCharacteristics)
pub fn set_problem(&mut self, problem: ProblemCharacteristics)
Set the current problem characteristics
Sourcepub fn select_optimizer(&mut self) -> Result<OptimizerType>
pub fn select_optimizer(&mut self) -> Result<OptimizerType>
Select the best optimizer for the current problem
Sourcepub fn update_performance(
&mut self,
optimizer: OptimizerType,
metrics: PerformanceMetrics,
) -> Result<()>
pub fn update_performance( &mut self, optimizer: OptimizerType, metrics: PerformanceMetrics, ) -> Result<()>
Update selector with performance feedback
Sourcepub fn train_selection_network(
&mut self,
learning_rate: A,
epochs: usize,
) -> Result<()>
pub fn train_selection_network( &mut self, learning_rate: A, epochs: usize, ) -> Result<()>
Train the selection network if using learning-based strategy
Sourcepub fn get_optimizer_statistics(
&self,
optimizer: OptimizerType,
) -> Option<OptimizerStatistics>
pub fn get_optimizer_statistics( &self, optimizer: OptimizerType, ) -> Option<OptimizerStatistics>
Get performance statistics for an optimizer
Sourcepub fn get_all_statistics(&self) -> Vec<OptimizerStatistics>
pub fn get_all_statistics(&self) -> Vec<OptimizerStatistics>
Get all optimizer statistics
Sourcepub fn get_selection_confidence(&self) -> f64
pub fn get_selection_confidence(&self) -> f64
Get current confidence in selection
Trait Implementations§
Auto Trait Implementations§
impl<A> Freeze for AdaptiveOptimizerSelector<A>
impl<A> RefUnwindSafe for AdaptiveOptimizerSelector<A>where
A: RefUnwindSafe,
impl<A> Send for AdaptiveOptimizerSelector<A>where
A: Send,
impl<A> Sync for AdaptiveOptimizerSelector<A>where
A: Sync,
impl<A> Unpin for AdaptiveOptimizerSelector<A>
impl<A> UnwindSafe for AdaptiveOptimizerSelector<A>where
A: RefUnwindSafe,
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> 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.