anweiguo 7 ماه پیش
والد
کامیت
0b438baf05

+ 1 - 1
models_processing/model_prediction_lightgbm/.ipynb_checkpoints/model_prediction_lightgbm-checkpoint.py

@@ -91,6 +91,6 @@ if __name__=="__main__":
     logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
     logger = logging.getLogger("model_prediction_lightgbm log")
     from waitress import serve
-    serve(app, host="0.0.0.0", port=10089)
+    serve(app, host="0.0.0.0", port=10090)
     print("server start!")
     

+ 1 - 1
models_processing/model_prediction_lightgbm/model_prediction_lightgbm.py

@@ -91,6 +91,6 @@ if __name__=="__main__":
     logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
     logger = logging.getLogger("model_prediction_lightgbm log")
     from waitress import serve
-    serve(app, host="0.0.0.0", port=10089)
+    serve(app, host="0.0.0.0", port=10090)
     print("server start!")
     

+ 1 - 1
models_processing/model_training_lighgbm/.ipynb_checkpoints/model_training_lightgbm-checkpoint.py

@@ -114,5 +114,5 @@ if __name__=="__main__":
     logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
     logger = logging.getLogger("model_training_lightgbm log")
     from waitress import serve
-    serve(app, host="0.0.0.0", port=10090)
+    serve(app, host="0.0.0.0", port=10089)
     print("server start!")

+ 1 - 1
models_processing/model_training_lighgbm/model_training_lightgbm.py

@@ -114,5 +114,5 @@ if __name__=="__main__":
     logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
     logger = logging.getLogger("model_training_lightgbm log")
     from waitress import serve
-    serve(app, host="0.0.0.0", port=10090)
+    serve(app, host="0.0.0.0", port=10089)
     print("server start!")

+ 89 - 2
models_processing/model_training_lighgbm/test.ipynb

@@ -37,10 +37,97 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "id": "b47d615a-5953-43c0-9289-387d5c823a7a",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024-09-26 16:09:24,040 - waitress - INFO - Serving on http://0.0.0.0:10090\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Program starts execution!\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024-09-26 16:11:05,381 - model_training_lightgbm log - INFO - {'numerical_features': 'NWP预测总辐射,NWP-10米预测风速,NWP-10米预测风向,NWP-30米预测风速,NWP-30米预测风向,NWP-50米预测风速,NWP-50米预测风向,NWP-70米预测风速,NWP-70米预测风向,NWP-90米预测风速,NWP-90米预测风向,NWP-110米预测风速,NWP-110米预测风向,NWP-150米预测风速,NWP-150米预测风向,NWP-170米预测风速,NWP-170米预测风向,NWP-低云量,NWP-中云量,NWP-高云量,NWP-总云量,NWP-晴空总辐射,NWP-法相直辐射,NWP-总降水强度,NWP-温度,NWP-湿度, NWP-气压', 'label': '实际功率', 'learning_rate': '0.01', 'num_leaves': '31', 'min_data_in_leaf': '21', 'mongodb_connection': 'mongodb://root:Jydl3377@192.168.1.33:27017', 'mongodb_database': 'algorithm_platform', 'col_pp': 'predict', 'mongodb_read_table': 'J00260NWP_records', 'mongodb_write_table': 'models', 'model_name': 'lightgbm_model', 'categorical_features': ''}\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Program starts execution!\n",
+      "args {'numerical_features': 'NWP预测总辐射,NWP-10米预测风速,NWP-10米预测风向,NWP-30米预测风速,NWP-30米预测风向,NWP-50米预测风速,NWP-50米预测风向,NWP-70米预测风速,NWP-70米预测风向,NWP-90米预测风速,NWP-90米预测风向,NWP-110米预测风速,NWP-110米预测风向,NWP-150米预测风速,NWP-150米预测风向,NWP-170米预测风速,NWP-170米预测风向,NWP-低云量,NWP-中云量,NWP-高云量,NWP-总云量,NWP-晴空总辐射,NWP-法相直辐射,NWP-总降水强度,NWP-温度,NWP-湿度, NWP-气压', 'label': '实际功率', 'learning_rate': '0.01', 'num_leaves': '31', 'min_data_in_leaf': '21', 'mongodb_connection': 'mongodb://root:Jydl3377@192.168.1.33:27017', 'mongodb_database': 'algorithm_platform', 'col_pp': 'predict', 'mongodb_read_table': 'J00260NWP_records', 'mongodb_write_table': 'models', 'model_name': 'lightgbm_model', 'categorical_features': ''}\n",
+      "features:************ ['NWP预测总辐射', 'NWP-10米预测风速', 'NWP-10米预测风向', 'NWP-30米预测风速', 'NWP-30米预测风向', 'NWP-50米预测风速', 'NWP-50米预测风向', 'NWP-70米预测风速', 'NWP-70米预测风向', 'NWP-90米预测风速', 'NWP-90米预测风向', 'NWP-110米预测风速', 'NWP-110米预测风向', 'NWP-150米预测风速', 'NWP-150米预测风向', 'NWP-170米预测风速', 'NWP-170米预测风向', 'NWP-低云量', 'NWP-中云量', 'NWP-高云量', 'NWP-总云量', 'NWP-晴空总辐射', 'NWP-法相直辐射', 'NWP-总降水强度', 'NWP-温度', 'NWP-湿度', ' NWP-气压']\n",
+      "Program execution ends!\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024-09-26 16:11:46,517 - model_training_lightgbm log - INFO - {'numerical_features': 'NWP预测总辐射,NWP-10米预测风速,NWP-10米预测风向,NWP-30米预测风速,NWP-30米预测风向,NWP-50米预测风速,NWP-50米预测风向,NWP-70米预测风速,NWP-70米预测风向,NWP-90米预测风速,NWP-90米预测风向,NWP-110米预测风速,NWP-110米预测风向,NWP-150米预测风速,NWP-150米预测风向,NWP-170米预测风速,NWP-170米预测风向,NWP-低云量,NWP-中云量,NWP-高云量,NWP-总云量,NWP-晴空总辐射,NWP-法相直辐射,NWP-总降水强度,NWP-温度,NWP-湿度,NWP-气压', 'label': '实际功率', 'learning_rate': '0.01', 'num_leaves': '31', 'min_data_in_leaf': '21', 'mongodb_connection': 'mongodb://root:Jydl3377@192.168.1.33:27017', 'mongodb_database': 'algorithm_platform', 'col_pp': 'predict', 'mongodb_read_table': 'J00260NWP_records', 'mongodb_write_table': 'models', 'model_name': 'lightgbm_model', 'categorical_features': ''}\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Program starts execution!\n",
+      "args {'numerical_features': 'NWP预测总辐射,NWP-10米预测风速,NWP-10米预测风向,NWP-30米预测风速,NWP-30米预测风向,NWP-50米预测风速,NWP-50米预测风向,NWP-70米预测风速,NWP-70米预测风向,NWP-90米预测风速,NWP-90米预测风向,NWP-110米预测风速,NWP-110米预测风向,NWP-150米预测风速,NWP-150米预测风向,NWP-170米预测风速,NWP-170米预测风向,NWP-低云量,NWP-中云量,NWP-高云量,NWP-总云量,NWP-晴空总辐射,NWP-法相直辐射,NWP-总降水强度,NWP-温度,NWP-湿度,NWP-气压', 'label': '实际功率', 'learning_rate': '0.01', 'num_leaves': '31', 'min_data_in_leaf': '21', 'mongodb_connection': 'mongodb://root:Jydl3377@192.168.1.33:27017', 'mongodb_database': 'algorithm_platform', 'col_pp': 'predict', 'mongodb_read_table': 'J00260NWP_records', 'mongodb_write_table': 'models', 'model_name': 'lightgbm_model', 'categorical_features': ''}\n",
+      "features:************ ['NWP预测总辐射', 'NWP-10米预测风速', 'NWP-10米预测风向', 'NWP-30米预测风速', 'NWP-30米预测风向', 'NWP-50米预测风速', 'NWP-50米预测风向', 'NWP-70米预测风速', 'NWP-70米预测风向', 'NWP-90米预测风速', 'NWP-90米预测风向', 'NWP-110米预测风速', 'NWP-110米预测风向', 'NWP-150米预测风速', 'NWP-150米预测风向', 'NWP-170米预测风速', 'NWP-170米预测风向', 'NWP-低云量', 'NWP-中云量', 'NWP-高云量', 'NWP-总云量', 'NWP-晴空总辐射', 'NWP-法相直辐射', 'NWP-总降水强度', 'NWP-温度', 'NWP-湿度', 'NWP-气压']\n",
+      "Starting training...\n",
+      "Training completed!\n",
+      "Collection 'models already exist, deleted successfully!\n",
+      "model inserted successfully!\n",
+      "Program execution ends!\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024-09-26 16:11:57,030 - model_training_lightgbm log - INFO - {'numerical_features': 'NWP预测总辐射,NWP-10米预测风速,NWP-10米预测风向,NWP-30米预测风速,NWP-30米预测风向,NWP-50米预测风速,NWP-50米预测风向,NWP-70米预测风速,NWP-70米预测风向,NWP-90米预测风速,NWP-90米预测风向,NWP-110米预测风速,NWP-110米预测风向,NWP-150米预测风速,NWP-150米预测风向,NWP-170米预测风速,NWP-170米预测风向,NWP-低云量,NWP-中云量,NWP-高云量,NWP-总云量,NWP-晴空总辐射,NWP-法相直辐射,NWP-总降水强度,NWP-温度,NWP-湿度,NWP-气压', 'label': '实际功率', 'learning_rate': '0.01', 'num_leaves': '31', 'min_data_in_leaf': '21', 'mongodb_connection': 'mongodb://root:Jydl3377@192.168.1.33:27017', 'mongodb_database': 'algorithm_platform', 'col_pp': 'predict', 'mongodb_read_table': 'J00260NWP_records', 'mongodb_write_table': 'models', 'model_name': 'lightgbm_model', 'categorical_features': ' '}\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Program starts execution!\n",
+      "args {'numerical_features': 'NWP预测总辐射,NWP-10米预测风速,NWP-10米预测风向,NWP-30米预测风速,NWP-30米预测风向,NWP-50米预测风速,NWP-50米预测风向,NWP-70米预测风速,NWP-70米预测风向,NWP-90米预测风速,NWP-90米预测风向,NWP-110米预测风速,NWP-110米预测风向,NWP-150米预测风速,NWP-150米预测风向,NWP-170米预测风速,NWP-170米预测风向,NWP-低云量,NWP-中云量,NWP-高云量,NWP-总云量,NWP-晴空总辐射,NWP-法相直辐射,NWP-总降水强度,NWP-温度,NWP-湿度,NWP-气压', 'label': '实际功率', 'learning_rate': '0.01', 'num_leaves': '31', 'min_data_in_leaf': '21', 'mongodb_connection': 'mongodb://root:Jydl3377@192.168.1.33:27017', 'mongodb_database': 'algorithm_platform', 'col_pp': 'predict', 'mongodb_read_table': 'J00260NWP_records', 'mongodb_write_table': 'models', 'model_name': 'lightgbm_model', 'categorical_features': ' '}\n",
+      "features:************ ['NWP预测总辐射', 'NWP-10米预测风速', 'NWP-10米预测风向', 'NWP-30米预测风速', 'NWP-30米预测风向', 'NWP-50米预测风速', 'NWP-50米预测风向', 'NWP-70米预测风速', 'NWP-70米预测风向', 'NWP-90米预测风速', 'NWP-90米预测风向', 'NWP-110米预测风速', 'NWP-110米预测风向', 'NWP-150米预测风速', 'NWP-150米预测风向', 'NWP-170米预测风速', 'NWP-170米预测风向', 'NWP-低云量', 'NWP-中云量', 'NWP-高云量', 'NWP-总云量', 'NWP-晴空总辐射', 'NWP-法相直辐射', 'NWP-总降水强度', 'NWP-温度', 'NWP-湿度', 'NWP-气压', ' ']\n",
+      "Program execution ends!\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024-09-26 16:12:20,633 - model_training_lightgbm log - INFO - {'numerical_features': 'NWP预测总辐射,NWP-10米预测风速,NWP-10米预测风向,NWP-30米预测风速,NWP-30米预测风向,NWP-50米预测风速,NWP-50米预测风向,NWP-70米预测风速,NWP-70米预测风向,NWP-90米预测风速,NWP-90米预测风向,NWP-110米预测风速,NWP-110米预测风向,NWP-150米预测风速,NWP-150米预测风向,NWP-170米预测风速,NWP-170米预测风向,NWP-低云量,NWP-中云量,NWP-高云量,NWP-总云量,NWP-晴空总辐射,NWP-法相直辐射,NWP-总降水强度,NWP-温度,NWP-湿度,NWP-气压', 'label': '实际功率', 'learning_rate': '0.01', 'num_leaves': '31', 'min_data_in_leaf': '21', 'mongodb_connection': 'mongodb://root:Jydl3377@192.168.1.33:27017', 'mongodb_database': 'algorithm_platform', 'col_pp': 'predict', 'mongodb_read_table': 'J00260NWP_records', 'mongodb_write_table': 'models', 'model_name': 'lightgbm_model', 'categorical_features': \"''\"}\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Program starts execution!\n",
+      "args {'numerical_features': 'NWP预测总辐射,NWP-10米预测风速,NWP-10米预测风向,NWP-30米预测风速,NWP-30米预测风向,NWP-50米预测风速,NWP-50米预测风向,NWP-70米预测风速,NWP-70米预测风向,NWP-90米预测风速,NWP-90米预测风向,NWP-110米预测风速,NWP-110米预测风向,NWP-150米预测风速,NWP-150米预测风向,NWP-170米预测风速,NWP-170米预测风向,NWP-低云量,NWP-中云量,NWP-高云量,NWP-总云量,NWP-晴空总辐射,NWP-法相直辐射,NWP-总降水强度,NWP-温度,NWP-湿度,NWP-气压', 'label': '实际功率', 'learning_rate': '0.01', 'num_leaves': '31', 'min_data_in_leaf': '21', 'mongodb_connection': 'mongodb://root:Jydl3377@192.168.1.33:27017', 'mongodb_database': 'algorithm_platform', 'col_pp': 'predict', 'mongodb_read_table': 'J00260NWP_records', 'mongodb_write_table': 'models', 'model_name': 'lightgbm_model', 'categorical_features': \"''\"}\n",
+      "features:************ ['NWP预测总辐射', 'NWP-10米预测风速', 'NWP-10米预测风向', 'NWP-30米预测风速', 'NWP-30米预测风向', 'NWP-50米预测风速', 'NWP-50米预测风向', 'NWP-70米预测风速', 'NWP-70米预测风向', 'NWP-90米预测风速', 'NWP-90米预测风向', 'NWP-110米预测风速', 'NWP-110米预测风向', 'NWP-150米预测风速', 'NWP-150米预测风向', 'NWP-170米预测风速', 'NWP-170米预测风向', 'NWP-低云量', 'NWP-中云量', 'NWP-高云量', 'NWP-总云量', 'NWP-晴空总辐射', 'NWP-法相直辐射', 'NWP-总降水强度', 'NWP-温度', 'NWP-湿度', 'NWP-气压', \"''\"]\n",
+      "Program execution ends!\n"
+     ]
+    }
+   ],
    "source": [
     " %run model_training_lightgbm.py"
    ]