Nothing
# internal function
# combine explainers for the plot() functions
# if more than one explainer is provided,
# then this function merge explainers into a single dataframe
combine_explainers <- function(x, ...) {
df <- x
df$label <- as.character(df$label)
all_labels <- unique(df$label)
class(df) <- "data.frame"
df$name <- seq.int(nrow(df))
dfl <- list(...)
if (length(dfl) > 0) {
for (resp in dfl) {
class(resp) <- "data.frame"
resp$label <- as.character(resp$label)
resp$name <- seq.int(nrow(resp))
#if labels are duplicated, fix it
if (any(unique(resp$label) %in% all_labels)) {
old_labels_corrected <- unique(resp$label)
all_labels <- make.unique(c(all_labels, old_labels_corrected))
all_labels_corrected <- tail(all_labels, length(old_labels_corrected))
for (i in seq_along(old_labels_corrected)) {
resp[resp[,"label"] == old_labels_corrected[i], "label"] <- all_labels_corrected[i]
}
}
all_labels <- c(all_labels, unique(resp$label))
df <- rbind(df, resp)
}
}
df
}
# test explainer
# test if the explainer object has all reqired fields
test_explainer <- function(explainer,
has_data = FALSE,
has_y = FALSE,
function_name = "variable_profile") {
# run checks against the explainer objects
if (!("explainer" %in% class(explainer)) && !("dalex._explainer.object.Explainer" %in% class(explainer)))
stop(paste0("The ",function_name," function requires an object created with explain() function."))
if (has_data && is.null(explainer$data))
stop(paste0("The ",function_name," function requires explainers created with specified 'data' parameter."))
if (has_y && is.null(explainer$y))
stop(paste0("The ",function_name," function requires explainers created with specified 'y' parameter."))
TRUE
}
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