scirs2_neural::callbacks

Struct CallbackContext

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pub struct CallbackContext<'a, F: Float + Debug + ScalarOperand> {
    pub epoch: usize,
    pub total_epochs: usize,
    pub batch: usize,
    pub total_batches: usize,
    pub batch_loss: Option<F>,
    pub epoch_loss: Option<F>,
    pub val_loss: Option<F>,
    pub metrics: Vec<F>,
    pub history: &'a History<F>,
    pub stop_training: bool,
    pub model: Option<&'a mut dyn Layer<F>>,
}
Expand description

Struct containing state during training

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§epoch: usize

Current epoch (0-based)

§total_epochs: usize

Total number of epochs

§batch: usize

Current batch (0-based)

§total_batches: usize

Total number of batches in current epoch

§batch_loss: Option<F>

Loss for current batch

§epoch_loss: Option<F>

Loss for current epoch

§val_loss: Option<F>

Validation loss for current epoch

§metrics: Vec<F>

Training metrics for current epoch

§history: &'a History<F>

Training history so far

§stop_training: bool

Whether to stop training

§model: Option<&'a mut dyn Layer<F>>

Optional reference to the model for gradient access

Auto Trait Implementations§

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impl<'a, F> Freeze for CallbackContext<'a, F>
where F: Freeze,

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impl<'a, F> !RefUnwindSafe for CallbackContext<'a, F>

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impl<'a, F> !Send for CallbackContext<'a, F>

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impl<'a, F> !Sync for CallbackContext<'a, F>

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impl<'a, F> Unpin for CallbackContext<'a, F>
where F: Unpin,

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impl<'a, F> !UnwindSafe for CallbackContext<'a, F>

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