Mean absolute error — nnf_mae • torchts

Mean absolute error

nnf_mae(input, target)

Arguments

input: (torch_tensor) A tensor of actual values
target: (torch_tensor) A tensor with the same shape as the input

Details

Computed according to the formula: $$MAE = \frac{1}{n}\displaystyle\sum_{t=1}^{n}\left\|target - input\right\|$$

See also

yardstick::mae

Examples

input <- c(92, 6.5, 57.69, 15.9, 88.47, 75.01, 5.06, 45.95, 27.8, 70.96)
input <- as_tensor(input)

target <- c(91.54, 5.87, 58.85, 10.73, 81.47, 75.39, 2.05, 40.95, 27.34, 66.61)
target <- as_tensor(target)

nnf_mae(input, target)
#> torch_tensor
#> 2.762
#> [ CPUFloatType{} ]