--- a
+++ b/man/noisy_loss_wrapper.Rd
@@ -0,0 +1,26 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/metrics.R
+\name{noisy_loss_wrapper}
+\alias{noisy_loss_wrapper}
+\title{Loss function for label noise}
+\usage{
+noisy_loss_wrapper(noise_matrix)
+}
+\arguments{
+\item{noise_matrix}{Matrix of noise distribution.}
+}
+\value{
+A function implementing noisy loss.
+}
+\description{
+Implements approach from this \href{https://arxiv.org/abs/1609.03683}{paper} and code from
+\href{https://github.com/giorgiop/loss-correction/blob/15a79de3c67c31907733392085c333547c2f2b16/loss.py#L16-L21}{here}.
+Can be used if labeled data contains noise, i.e. some of the data is labeled wrong.
+}
+\examples{
+\dontshow{if (reticulate::py_module_available("tensorflow")) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
+# If first label contains 5\% wrong labels and second label no noise
+noise_matrix <- matrix(c(0.95, 0.05, 0, 1), nrow = 2, byrow = TRUE)
+noisy_loss <- noisy_loss_wrapper(noise_matrix)
+\dontshow{\}) # examplesIf}
+}