QMLTrainingConfig

quantrs2_sim::quantum_machine_learning_layers

Struct QMLTrainingConfig 

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pub struct QMLTrainingConfig {
    pub algorithm: QMLTrainingAlgorithm,
    pub learning_rate: f64,
    pub epochs: usize,
    pub batch_size: usize,
    pub gradient_method: GradientMethod,
    pub optimizer: OptimizerType,
    pub regularization: RegularizationConfig,
    pub early_stopping: EarlyStoppingConfig,
    pub lr_schedule: LearningRateSchedule,
}
Expand description

QML training configuration

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§algorithm: QMLTrainingAlgorithm

Training algorithm type

§learning_rate: f64

Learning rate

§epochs: usize

Number of training epochs

§batch_size: usize

Batch size

§gradient_method: GradientMethod

Gradient computation method

§optimizer: OptimizerType

Optimizer type

§regularization: RegularizationConfig

Regularization parameters

§early_stopping: EarlyStoppingConfig

Early stopping configuration

§lr_schedule: LearningRateSchedule

Learning rate scheduling

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impl Clone for QMLTrainingConfig

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fn clone(&self) -> QMLTrainingConfig

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 QMLTrainingConfig

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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 QMLTrainingConfig

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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 QMLTrainingConfig

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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 QMLTrainingConfig

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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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🔬This is a nightly-only experimental API. (clone_to_uninit)
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