TrainingHistory

quantrs2_sim::qml::trainer

Struct TrainingHistory 

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pub struct TrainingHistory {
    pub loss_history: Vec<f64>,
    pub gradient_norms: Vec<f64>,
    pub parameter_norms: Vec<f64>,
    pub epoch_times: Vec<f64>,
    pub hardware_metrics: Vec<HardwareMetrics>,
}
Expand description

Training history

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§loss_history: Vec<f64>

Loss values over epochs

§gradient_norms: Vec<f64>

Gradient norms

§parameter_norms: Vec<f64>

Parameter norms

§epoch_times: Vec<f64>

Training times per epoch

§hardware_metrics: Vec<HardwareMetrics>

Hardware utilization metrics

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impl TrainingHistory

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pub fn latest_loss(&self) -> Option<f64>

Get the latest loss value

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pub fn best_loss(&self) -> Option<f64>

Get the best (minimum) loss value

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pub fn average_epoch_time(&self) -> f64

Get average epoch time

Trait Implementations§

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impl Clone for TrainingHistory

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fn clone(&self) -> TrainingHistory

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 TrainingHistory

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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 TrainingHistory

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fn default() -> TrainingHistory

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

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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 TrainingHistory

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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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