sklears_gaussian_process::variational_deep_gp

Struct VariationalDeepGPState

pub struct VariationalDeepGPState {
    pub layer_parameters: Vec<VariationalLayerParameters>,
    pub X_train: Array2<f64>,
    pub y_train: Array2<f64>,
    pub current_elbo: f64,
    pub elbo_history: Vec<f64>,
    pub epochs_completed: usize,
    pub converged: bool,
}

Expand description

Training state for variational deep GP

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§layer_parameters: Vec<VariationalLayerParameters>

Variational parameters for each layer

§X_train: Array2<f64>

Training data

§y_train: Array2<f64>§current_elbo: f64

Current ELBO value

§elbo_history: Vec<f64>

ELBO history during training

§epochs_completed: usize

Number of training epochs completed

§converged: bool

Whether training has converged

Trait Implementations§

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impl Debug for VariationalDeepGPState

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

Auto Trait Implementations§

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impl UnwindSafe for VariationalDeepGPState

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fn borrow_mut(&mut self) -> &mut T

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fn from(t: T) -> T

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Calls U::from(self).

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where F: FnOnce(&Self) -> bool,

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 more

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