% Generated by roxygen2: do not edit by hand

% Please edit documentation in R/evaluation.R

\name{evaluate_sigmoid}

\alias{evaluate_sigmoid}

\title{Evaluate matrices of true targets and predictions from layer with sigmoid activation.}

\usage{

evaluate_sigmoid(y, y_conf, auc = FALSE, auprc = FALSE, label_names = NULL)

}

\arguments{

\item{y}{Matrix of true target.}

\item{y_conf}{Matrix of predictions.}

\item{auc}{Whether to include AUC metric.}

\item{auprc}{Whether to include AUPRC metric.}

\item{label_names}{Names of corresponding labels. Length must be equal to number of columns of \code{y}.}

}

\value{

A list of evaluation results.

}

\description{

Compute accuracy, binary crossentropy and (optionally) AUC or AUPRC, given predictions and

true targets. Outputs columnwise average.

}

\examples{

\dontshow{if (reticulate::py_module_available("tensorflow")) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}

y <- matrix(sample(c(0, 1), 30, replace = TRUE), ncol = 3)

y_conf <- matrix(runif(n = 30), ncol = 3)

evaluate_sigmoid(y, y_conf, auc = TRUE, auprc = TRUE)

\dontshow{\}) # examplesIf}

}