Enum VariationalOptimizer 

pub enum VariationalOptimizer {
    Adam,
    NaturalGradients,
    DoublyStochastic,
}

Optimization method for variational sparse Gaussian processes

Variants

Adam

Adam optimizer with adaptive learning rates

NaturalGradients

Natural gradients optimizer using the Fisher information metric

DoublyStochastic

Doubly stochastic variational inference with mini-batches for both data and inducing points

Trait Implementations

impl Clone for VariationalOptimizer

fn clone(&self) -> VariationalOptimizer

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for VariationalOptimizer

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

Formats the value using the given formatter.

impl Default for VariationalOptimizer

fn default() -> VariationalOptimizer

Returns the “default value” for a type.

impl PartialEq for VariationalOptimizer

fn eq(&self, other: &VariationalOptimizer) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for VariationalOptimizer