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#' @template surv_measure
#' @templateVar title Mean Absolute Error
#' @templateVar fullname MeasureSurvMAE
#'
#' @template param_se
#'
#' @description
#' Calculates the mean absolute error (MAE).
#'
#' The MAE is defined by
#' \deqn{\frac{1}{n} \sum |t - \hat{t}|}{1/n \sum |t - t*|}
#' where \eqn{t} is the true value and \eqn{\hat{t}}{t*} is the prediction.
#'
#' Censored observations in the test set are ignored.
#'
#' @family response survival measures
#' @export
MeasureSurvMAE = R6::R6Class("MeasureSurvMAE",
inherit = MeasureSurv,
public = list(
#' @description Creates a new instance of this [R6][R6::R6Class] class.
initialize = function() {
ps = ps(
se = p_lgl(default = FALSE)
)
ps$values$se = FALSE
super$initialize(
id = "surv.mae",
range = c(0, Inf),
minimize = TRUE,
predict_type = "response",
label = "Mean Absolute Error",
man = "mlr3proba::mlr_measures_surv.mae",
param_set = ps
)
}
),
private = list(
.score = function(prediction, ...) {
if (self$param_set$values$se) {
return(surv_mae(prediction$truth, prediction$response)$se)
} else {
return(mean(surv_mae(prediction$truth, prediction$response)$mae))
}
}
)
)
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