nabla_ml::nab_loss

Struct NabLoss

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pub struct NabLoss;

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impl NabLoss

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pub fn mean_squared_error(y_true: &NDArray, y_pred: &NDArray) -> f64

Calculates the Mean Squared Error (MSE) between two arrays

§Arguments
  • y_true - The true values as an NDArray.
  • y_pred - The predicted values as an NDArray.
§Returns

The MSE as a f64.

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pub fn cross_entropy_loss(y_true: &NDArray, y_pred: &NDArray) -> f64

Calculates the Cross-Entropy Loss between two arrays

§Arguments
  • y_true - The true values as an NDArray (one-hot encoded).
  • y_pred - The predicted probabilities as an NDArray.
§Returns

The Cross-Entropy Loss as a f64.

Trait Implementations§

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impl Loss for NabLoss

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fn forward(&self, predictions: &NDArray, targets: &NDArray) -> f64

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fn backward(&self, predictions: &NDArray, targets: &NDArray) -> NDArray

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