AdvancedLearningConfig

quantrs2_sim::quantum_reservoir_computing_enhanced

Struct AdvancedLearningConfig 

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pub struct AdvancedLearningConfig {
Show 14 fields
    pub algorithm: LearningAlgorithm,
    pub regularization: f64,
    pub l1_ratio: f64,
    pub forgetting_factor: f64,
    pub process_noise: f64,
    pub measurement_noise: f64,
    pub nn_architecture: Vec<usize>,
    pub nn_activation: ActivationFunction,
    pub epochs: usize,
    pub batch_size: usize,
    pub early_stopping_patience: usize,
    pub cv_folds: usize,
    pub enable_ensemble: bool,
    pub ensemble_size: usize,

}
Expand description

Advanced learning algorithm configuration

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§algorithm: LearningAlgorithm

Primary learning algorithm

§regularization: f64

Regularization parameter (lambda)

§l1_ratio: f64

L1 ratio for Elastic Net (0.0 = Ridge, 1.0 = LASSO)

§forgetting_factor: f64

Forgetting factor for RLS

§process_noise: f64

Process noise for Kalman filter

§measurement_noise: f64

Measurement noise for Kalman filter

§nn_architecture: Vec<usize>

Neural network architecture

§nn_activation: ActivationFunction

Neural network activation function

§epochs: usize

Number of training epochs

§batch_size: usize

Batch size for training

§early_stopping_patience: usize

Early stopping patience

§cv_folds: usize

Cross-validation folds

§enable_ensemble: bool

Enable ensemble methods

§ensemble_size: usize

Number of ensemble members

Trait Implementations§

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impl Clone for AdvancedLearningConfig

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fn clone(&self) -> AdvancedLearningConfig

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

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

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

Formats the value using the given formatter. Read more
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impl Default for AdvancedLearningConfig

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fn default() -> Self

Returns the “default value” for a type. Read more
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impl<'de> Deserialize<'de> for AdvancedLearningConfig

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fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>
where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer. Read more
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impl Serialize for AdvancedLearningConfig

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fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>
where __S: Serializer,

Serialize this value into the given Serde serializer. Read more

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