收工

实验六/train.py

@@ -75,11 +75,10 @@ Y_test = np.array(test_labels)
 
 # 训练分类器
 classifier = SVC(kernel="linear")
-with parallel_backend('threading',n_jobs=-1):
-    start_time=time.time()
+with parallel_backend('threading', n_jobs=-1):
+    start_time = time.time()
     classifier.fit(X_train, Y_train)
-    elapsed_time = time.time()-start_time
-
+    elapsed_time = time.time() - start_time
 print(f"模型训练耗时: {elapsed_time:.2f} 秒")
 
 # 在测试集上进行评估