QGATTrainingConfig

quantrs2_ml::quantum_graph_attention

Struct QGATTrainingConfig 

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pub struct QGATTrainingConfig {
    pub epochs: usize,
    pub learning_rate: f64,
    pub batch_size: usize,
    pub optimizer: OptimizerType,
    pub loss_function: LossFunction,
    pub regularization: RegularizationConfig,
}
Expand description

Training configuration for QGAT

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§epochs: usize

Number of training epochs

§learning_rate: f64

Learning rate

§batch_size: usize

Batch size

§optimizer: OptimizerType

Optimizer type

§loss_function: LossFunction

Loss function

§regularization: RegularizationConfig

Regularization parameters

Trait Implementations§

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impl Clone for QGATTrainingConfig

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fn clone(&self) -> QGATTrainingConfig

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 QGATTrainingConfig

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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 QGATTrainingConfig

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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 QGATTrainingConfig

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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 QGATTrainingConfig

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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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