% Generated by roxygen2: do not edit by hand

% Please edit documentation in R/evaluation.R

\name{evaluate_linear}

\alias{evaluate_linear}

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

\usage{

evaluate_linear(y_true, y_pred, label_names = NULL)

}

\arguments{

\item{y_true}{Matrix of true labels.}

\item{y_pred}{Matrix of predictions.}

\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 MAE and MSE, 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_true <- matrix(rnorm(n = 12), ncol = 3)

y_pred <- matrix(rnorm(n = 12), ncol = 3)

evaluate_linear(y_true, y_pred)

\dontshow{\}) # examplesIf}

}