From d48b0efa33a54d1621402e5861b9824cc9a1610d Mon Sep 17 00:00:00 2001
From: Juan Rocha <icjuan.rocha@americanwell.com>
Date: Mon, 7 Oct 2024 16:32:47 -0500
Subject: [PATCH] turning back docs

---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 00f2eb9..200e333 100644
--- a/README.md
+++ b/README.md
@@ -86,13 +86,13 @@ naml = naiveautoml.NaiveAutoML(scoring="accuracy", passive_scorings=["neg_log_lo
 You can also pass a custom scoring function through a dictionary:
 
 ```python
-scorer = {
+scorer = make_scorer(**{
             "name": "accuracy",
             "score_func": lambda y, y_pred: np.count_nonzero(y == y_pred).mean(),
             "greater_is_better": True,
             "needs_proba": False,
             "needs_threshold": False
-         }
+        })
 naml = naiveautoml.NaiveAutoML(scoring=scorer)
 ```