Nothing
#' @title Root Mean Squared Log Error
#'
#' @details
#' The Root Mean Squared Log Error is defined as \deqn{
#' \sqrt{\frac{1}{n} \sum_{i=1}^n w_i \left( \ln (1 + t_i) - \ln (1 + r_i) \right)^2}.
#' }{
#' sqrt(weighted.mean((log(1 + t) - log(1 + r))^2, w)).
#' }
#'
#' @templateVar mid rmsle
#' @template regr_template
#'
#' @details
#' This measure is undefined if any element of \eqn{t} or \eqn{r} is less than or equal to \eqn{-1}.
#'
#' @inheritParams regr_params
#' @template regr_example
#' @export
rmsle = function(truth, response, sample_weights = NULL, na_value = NaN, ...) {
assert_regr(truth, response = response, na_value = na_value)
if (min(truth, response) <= -1) {
return(na_value)
}
sqrt(wmean(.sle(truth, response), sample_weights))
}
#' @include measures.R
add_measure(rmsle, "Root Mean Squared Log Error", "regr", 0, Inf, TRUE)
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.