OnlineLearningStrategy

optirs_core::online_learning

Enum OnlineLearningStrategy 

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pub enum OnlineLearningStrategy {
    AdaptiveSGD {
        initial_lr: f64,
        adaptation_method: LearningRateAdaptation,
    },
    OnlineNewton {
        damping: f64,
        hessian_window: usize,
    },
    FTRL {
        l1_regularization: f64,
        l2_regularization: f64,
        learning_rate_power: f64,
    },
    MirrorDescent {
        mirror_function: MirrorFunction,
        regularization: f64,
    },
    AdaptiveMultiTask {
        similarity_threshold: f64,
        task_lr_adaptation: bool,
    },
}
Expand description

Online learning strategy

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AdaptiveSGD

Stochastic Gradient Descent with adaptive learning rate

Fields

§initial_lr: f64

Initial learning rate

§adaptation_method: LearningRateAdaptation

Learning rate adaptation method

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OnlineNewton

Online Newton’s method (second-order)

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§damping: f64

Damping parameter for stability

§hessian_window: usize

Window size for Hessian estimation

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FTRL

Follow The Regularized Leader (FTRL)

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§l1_regularization: f64

L1 regularization strength

§l2_regularization: f64

L2 regularization strength

§learning_rate_power: f64

Learning rate power

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MirrorDescent

Online Mirror Descent

Fields

§mirror_function: MirrorFunction

Mirror function type

§regularization: f64

Regularization strength

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AdaptiveMultiTask

Adaptive Multi-Task Learning

Fields

§similarity_threshold: f64

Task similarity threshold

§task_lr_adaptation: bool

Task-specific learning rates

Trait Implementations§

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impl Clone for OnlineLearningStrategy

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fn clone(&self) -> OnlineLearningStrategy

Returns a duplicate of the value. Read more
1.0.0 · Source§

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

Performs copy-assignment from source. Read more
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impl Debug for OnlineLearningStrategy

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

Formats the value using the given formatter. Read more

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