RegularizationConfig

quantrs2_sim::quantum_machine_learning_layers

Struct RegularizationConfig 

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pub struct RegularizationConfig {
    pub l1_strength: f64,
    pub l2_strength: f64,
    pub dropout_prob: f64,
    pub parameter_bounds: Option<(f64, f64)>,
    pub enable_clipping: bool,
    pub gradient_clip_threshold: f64,
}
Expand description

Regularization configuration

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§l1_strength: f64

L1 regularization strength

§l2_strength: f64

L2 regularization strength

§dropout_prob: f64

Dropout probability

§parameter_bounds: Option<(f64, f64)>

Parameter constraint bounds

§enable_clipping: bool

Enable parameter clipping

§gradient_clip_threshold: f64

Gradient clipping threshold

Trait Implementations§

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impl Clone for RegularizationConfig

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fn clone(&self) -> RegularizationConfig

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 RegularizationConfig

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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 RegularizationConfig

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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 RegularizationConfig

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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 RegularizationConfig

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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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