diff --git a/src/gbm/gblinear.cc b/src/gbm/gblinear.cc
index 200c3ea3c96c..cc6ec728d990 100644
--- a/src/gbm/gblinear.cc
+++ b/src/gbm/gblinear.cc
@@ -1,5 +1,5 @@
-/*!
- * Copyright 2014-2022 by XGBoost Contributors
+/**
+ * Copyright 2014-2023, XGBoost Contributors
  * \file gblinear.cc
  * \brief Implementation of Linear booster, with L1/L2 regularization: Elastic Net
  *        the update rule is parallel coordinate descent (shotgun)
@@ -26,6 +26,7 @@
 #include "../common/timer.h"
 #include "../common/common.h"
 #include "../common/threading_utils.h"
+#include "../common/error_msg.h"
 
 namespace xgboost {
 namespace gbm {
@@ -84,7 +85,8 @@ class GBLinear : public GradientBooster {
     param_.UpdateAllowUnknown(cfg);
     param_.CheckGPUSupport();
     if (param_.updater == "gpu_coord_descent") {
-      LOG(WARNING) << "`gpu_coord_descent` is deprecated, use `device=cuda` instead.";
+      LOG(WARNING) << error::DeprecatedFunc("gpu_coord_descent", "2.0.0",
+                                            R"(device="cuda", updater="coord_descent")");
     }
 
     if (param_.updater == "coord_descent" && ctx_->IsCUDA()) {
@@ -362,5 +364,4 @@ XGBOOST_REGISTER_GBM(GBLinear, "gblinear")
     .set_body([](LearnerModelParam const* booster_config, Context const* ctx) {
       return new GBLinear(booster_config, ctx);
     });
-}  // namespace gbm
-}  // namespace xgboost
+}  // namespace xgboost::gbm