添加--接口文档中添加获取训练好的模型方法

doc/接口文档code.md

@@ -395,7 +395,45 @@ Response:
 }
 ```
 
-### 2.5 获取训练状态
+### 2.5 获取已经训练好的模型列表
+```http
+GET /api/models/finished
+
+Response:
+{
+    "status": "success",
+    "models": [
+        {
+            "model_id": "model_20250219_001",
+            "algorithm": "XGBClassifier",
+            "task_type": "classification",
+            "dataset": "breast_cancer",
+            "training_time": "2025-02-19T14:30:00",
+            "metrics": {
+                "accuracy": 0.95,
+                "precision": 0.94,
+                "recall": 0.93,
+                "f1": 0.94
+            },
+            "parameters": {
+                "n_estimators": 100,
+                "learning_rate": 0.1,
+                "max_depth": 6
+            },
+            "mlflow_run_id": "abc123def456",
+            "model_path": "models/model_20250219_001"
+        }
+    ],
+    "total_count": 1,
+    "page": 1,
+    "page_size": 10
+}
+
+```
+### 2.6 删除指定的训练好的模型.
+
+
+### 2.7 获取训练状态
 ```http
 GET /api/train/status/{task_id}
 
@@ -418,7 +456,7 @@ Response:
 }
 ```
 
-### 2.6 模型预测
+### 2.8 模型预测
 ```http
 POST /api/predict
 Content-Type: application/json