Skip to contents

Computes accuracy for multi-class classification problems.

Usage

luz_metric_accuracy()

Value

Returns new luz metric.

Details

This metric expects to take logits or probabilities at every update. It will then take the columnwise argmax and compare to the target.

Examples

if (torch::torch_is_installed()) {
library(torch)
metric <- luz_metric_accuracy()
metric <- metric$new()
metric$update(torch_randn(100, 10), torch::torch_randint(1, 10, size = 100))
metric$compute()
}
#> [1] 0.06