From 1f83a362430809b8d88449f48ab9c9bc1fd4dbba Mon Sep 17 00:00:00 2001
From: "Simon P. Couch" <simonpatrickcouch@gmail.com>
Date: Fri, 23 Aug 2024 09:11:32 -0500
Subject: [PATCH] apply suggestions from review

---
 R/glmnet-engines.R | 2 +-
 R/logistic_reg.R   | 2 +-
 R/mlp.R            | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/R/glmnet-engines.R b/R/glmnet-engines.R
index 14f7a587d..296468e49 100644
--- a/R/glmnet-engines.R
+++ b/R/glmnet-engines.R
@@ -388,7 +388,7 @@ format_glmnet_multinom_class <- function(pred, penalty, lvl, n_obs) {
   if (!multi) {
     if (length(penalty) != 1) {
       cli::cli_abort(c(
-        "{.var penalty} should be a single numeric value.",
+        "{.arg penalty} should be a single numeric value.",
         "i" = "{.fn multi_predict} can be used to get multiple predictions per row of data."
       ))
     }
diff --git a/R/logistic_reg.R b/R/logistic_reg.R
index 451d19526..6d0f6c6d8 100644
--- a/R/logistic_reg.R
+++ b/R/logistic_reg.R
@@ -98,7 +98,7 @@ translate.logistic_reg <- function(x, engine = x$engine, ...) {
         } else if (quo_get_expr(x$args$mixture) == 1) {
           arg_vals$type <- 6      ## lasso
         } else {
-          cli::cli_abort("For the LiblineaR engine, {.var mixture} must be 0 or 1.")
+          cli::cli_abort("For the LiblineaR engine, {.arg mixture} must be 0 or 1.")
         }
     }
     x$method$fit$args <- arg_vals
diff --git a/R/mlp.R b/R/mlp.R
index 6ed148390..b35dbe32c 100644
--- a/R/mlp.R
+++ b/R/mlp.R
@@ -196,7 +196,7 @@ keras_mlp <-
 
     if (penalty > 0 & dropout > 0) {
       cli::cli_abort("Please use either dropout or weight decay.", call = NULL)
-      }
+    }
     if (!is.matrix(x)) {
       x <- as.matrix(x)
     }