#' CalculateConfuison
#'
#' @description This function calculates confusiuon waves from confusion matrix.
#' model need to have confusion matrix attribute
#'
CalculateConfusion <-
function(model,
signal.max = NULL,
confusion.signal.max = signal.max,
...){
signal_ <- as.name(model$signal)
class_ <- as.name(model$class)
signal.list <-
(model$confusion.table %>%
dplyr::distinct(!!signal_) %>%
dplyr::arrange(!!signal_))[[model$signal]]
if(!is.null(confusion.signal.max) & length(signal.list) > 1){
signal.list <- signal.list[signal.list <= confusion.signal.max]
}
if(length(signal.list) <= 1){
stop("There must be at last two sigals to plot SCRC waves")
}
if(is.null(confusion.signal.max)){
confusion.signal.max <- max(signal.list)
}
model$confusion.waves <-
CalculateConfusionWaves(
model = model,
signal.list = signal.list,
signal.max = confusion.signal.max)
model$confusion.waves.polygon <-
CalculateConfusionWavesPolygons(
model = model,
confusion.waves = model$confusion.waves,
signal.list = signal.list)
return(model)
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.