Add new feature or fix something

.github/workflows/test.yml

@@ -1,10 +1,10 @@
 name: ML Pipeline CI
 
 on:
-  # push:
-  #   branches: [ main, master  ]
+  push:
+     branches: [ main, master, my-feature-branch  ]
   pull_request:
-    branches: [ main, master ]
+    branches: [ main, master, my-feature-branch ]
 
 jobs:
   test:

day5/演習3/tests/test_model.py

@@ -1,9 +1,9 @@
-import os
 import pytest
 import pandas as pd
 import numpy as np
 import pickle
 import time
+import os  # ← これを追加！
 from sklearn.ensemble import RandomForestClassifier
 from sklearn.model_selection import train_test_split
 from sklearn.metrics import accuracy_score
@@ -17,6 +17,17 @@
 MODEL_DIR = os.path.join(os.path.dirname(__file__), "../models")
 MODEL_PATH = os.path.join(MODEL_DIR, "titanic_model.pkl")
 
+BASELINE_ACCURACY = 0.78  # 過去バージョンの精度などで設定
+
+
+def test_accuracy_vs_baseline(train_model):
+    model, X_test, y_test = train_model
+    y_pred = model.predict(X_test)
+    accuracy = accuracy_score(y_test, y_pred)
+    assert (
+        accuracy >= BASELINE_ACCURACY
+    ), f"モデル精度がベースラインを下回っています: {accuracy} < {BASELINE_ACCURACY}"
+
 
 @pytest.fixture
 def sample_data():

new_file.py

@@ -0,0 +1,2 @@
+# ここにコードを書く
+print('Hello from new_file!')