From 428d9e9e2a7cd5ead3ece6d2b2522874fae6b66b Mon Sep 17 00:00:00 2001
From: jyx-su <108294040+jyx-su@users.noreply.github.com>
Date: Wed, 8 Nov 2023 13:21:05 -0800
Subject: [PATCH] black format

---
 examples/regression.py | 5 ++---
 examples/survival.py   | 5 ++---
 2 files changed, 4 insertions(+), 6 deletions(-)

diff --git a/examples/regression.py b/examples/regression.py
index 735d47e..88122cd 100644
--- a/examples/regression.py
+++ b/examples/regression.py
@@ -8,13 +8,12 @@
 from ngboost.distns import Normal
 
 if __name__ == "__main__":
-
-    #Load Boston housing dataset
+    # Load Boston housing dataset
     data_url = "http://lib.stat.cmu.edu/datasets/boston"
     raw_df = pd.read_csv(data_url, sep="\s+", skiprows=22, header=None)
     X = np.hstack([raw_df.values[::2, :], raw_df.values[1::2, :2]])
     Y = raw_df.values[1::2, 2]
-    
+
     X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.2)
 
     ngb = NGBRegressor(Dist=Normal).fit(X_train, Y_train)
diff --git a/examples/survival.py b/examples/survival.py
index 4af3ea4..db59caf 100644
--- a/examples/survival.py
+++ b/examples/survival.py
@@ -8,13 +8,12 @@
 from ngboost.distns import LogNormal
 
 if __name__ == "__main__":
-
-    #Load Boston housing dataset
+    # Load Boston housing dataset
     data_url = "http://lib.stat.cmu.edu/datasets/boston"
     raw_df = pd.read_csv(data_url, sep="\s+", skiprows=22, header=None)
     X = np.hstack([raw_df.values[::2, :], raw_df.values[1::2, :2]])
     Y = raw_df.values[1::2, 2]
-    
+
     X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.2)
 
     # introduce administrative censoring