ghostflow_ml::hyperparameter_optimization

Struct BayesianOptimization

pub struct BayesianOptimization {
    pub n_iterations: usize,
    pub n_initial_points: usize,
    pub acquisition_function: AcquisitionFunction,
    pub xi: f32,
    pub kappa: f32,
    /* private fields */
}

Expand description

Bayesian Optimization using Gaussian Process

Efficiently searches hyperparameter space by building a probabilistic model of the objective function.

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§n_iterations: usize§n_initial_points: usize§acquisition_function: AcquisitionFunction§xi: f32§kappa: f32

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pub fn optimize<F>(&mut self, objective: F) -> (Configuration, f32)
where F: Fn(&Configuration) -> f32,

Optimize a black-box function

Auto Trait Implementations§

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impl Freeze for BayesianOptimization

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impl RefUnwindSafe for BayesianOptimization

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impl Send for BayesianOptimization

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impl Sync for BayesianOptimization

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impl Unpin for BayesianOptimization

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impl UnwindSafe for BayesianOptimization

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impl<T> Any for T
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fn from(t: T) -> T

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