pub struct SmacOptimizer { /* private fields */ }Expand description
SMAC: Sequential Model-based Algorithm Configuration.
Uses a Random Forest surrogate and an EI acquisition function to guide the search, combined with local search around promising incumbents.
Implementations§
Source§impl SmacOptimizer
impl SmacOptimizer
Sourcepub fn new(bounds: Vec<(f64, f64)>, config: SmacConfig) -> OptimizeResult<Self>
pub fn new(bounds: Vec<(f64, f64)>, config: SmacConfig) -> OptimizeResult<Self>
Create a new SMAC optimizer.
Sourcepub fn optimize<F>(
&mut self,
objective: F,
n_evaluations: usize,
) -> OptimizeResult<SmacResult>
pub fn optimize<F>( &mut self, objective: F, n_evaluations: usize, ) -> OptimizeResult<SmacResult>
Run SMAC optimization.
objective(x) evaluates the function to minimize.
n_evaluations overrides config.n_iterations if > 0.
Auto Trait Implementations§
impl Freeze for SmacOptimizer
impl RefUnwindSafe for SmacOptimizer
impl Send for SmacOptimizer
impl Sync for SmacOptimizer
impl Unpin for SmacOptimizer
impl UnsafeUnpin for SmacOptimizer
impl UnwindSafe for SmacOptimizer
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T: ?Sized,
impl<T> BorrowMut<T> for Twhere
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Mutably borrows from an owned value. Read more
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fn into_either(self, into_left: bool) -> Either<Self, Self>
Converts
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Converts self into a Right variant of Either<Self, Self>
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fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
Converts
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fn from_subset(element: &SS) -> SP
The inclusion map: converts
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