Mean squared error loss

Computes the mean squared error between predictions and targets.

Usage

mlx_mse_loss(predictions, targets, reduction = c("mean", "sum", "none"))

Arguments

predictions

Predicted values as an mlx array.

targets

Target values as an mlx array.

reduction

Type of reduction: "mean" (default), "sum", or "none".

Value

An mlx array containing the loss.

See also

mlx.nn.losses.mse_loss

Examples

preds <- as_mlx(matrix(c(1.5, 2.3, 0.8), 3, 1))
targets <- as_mlx(matrix(c(1, 2, 1), 3, 1))
mlx_mse_loss(preds, targets)
#> mlx array []
#>   dtype: float32
#>   device: gpu
#>   values:
#> [1] 0.1266666