From 35f05d0e291199c5e2f3a1aa8196eeecc6c3d43d Mon Sep 17 00:00:00 2001
From: gulongcheng <474084054@qq.com>
Date: Mon, 27 Oct 2025 15:41:43 +0800
Subject: [PATCH] =?UTF-8?q?=E6=B5=8B=E8=AF=95=E6=96=87=E4=BB=B6?=
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---
 FC_ML_Baseline/FC_ML_Baseline_Predict/Model_Pred.py | 13 +++++++++++++
 .../FC_ML_Baseline_Test/Train/param-linux.json      | 12 ++++++------
 2 files changed, 19 insertions(+), 6 deletions(-)

diff --git a/FC_ML_Baseline/FC_ML_Baseline_Predict/Model_Pred.py b/FC_ML_Baseline/FC_ML_Baseline_Predict/Model_Pred.py
index e8c89f1..b066c16 100644
--- a/FC_ML_Baseline/FC_ML_Baseline_Predict/Model_Pred.py
+++ b/FC_ML_Baseline/FC_ML_Baseline_Predict/Model_Pred.py
@@ -3,6 +3,19 @@ import json
 
 import torch
 
+import sys
+import os
+
+# 获取当前脚本（Data_Load.py）所在的目录
+current_script_dir = os.path.dirname(__file__)  # 结果：/home/app/model/ModelTrainingPython/FC_ML_Baseline/FC_ML_Baseline_Data_Handler
+
+# 从当前目录回退 2 级，得到项目根目录 ModelTrainingPython
+root_path = os.path.abspath(os.path.join(current_script_dir, "..", ".."))
+
+# 将根目录添加到 Python 搜索路径
+sys.path.append(root_path)
+
+
 from FC_ML_Data.FC_ML_Data_Process.Data_Process_Normalization import Normalizer
 from FC_ML_NN_Model.Poly_Model import PolyModel
 from FC_ML_Tool.Serialization import parse_json_file
diff --git a/FC_ML_Baseline/FC_ML_Baseline_Test/Train/param-linux.json b/FC_ML_Baseline/FC_ML_Baseline_Test/Train/param-linux.json
index 9a0c7d9..e4a9abc 100644
--- a/FC_ML_Baseline/FC_ML_Baseline_Test/Train/param-linux.json
+++ b/FC_ML_Baseline/FC_ML_Baseline_Test/Train/param-linux.json
@@ -2,22 +2,22 @@
   "files":["sample1.CSV"],
   "path": "/home/app/model/ModelTrainingPython/FC_ML_Baseline/FC_ML_Baseline_Test/Train/",
   "algorithmParam": {
-    "inputSize": 8,
+    "inputSize": 9,
     "outputSize": 8,
     "algorithm": "多项式拟合",
     "activateFun": "sigmod",
     "lossFun": "l1",
     "optimizeFun": "sgd",
-    "exportFormat": ".onnx",
+    "exportFormat": "bin",
     "trainingRatio": 80,
     "loadSize": 32,
     "studyPercent": 0.001,
     "stepCounts": 3,
-    "roundPrint": 11,
-    "round": 1001,
-    "preDisposeData": false,
+    "roundPrint": 10,
+    "round": 300,
+    "preDisposeData": true,
     "disposeMethod": "minmax",
-    "dataNoOrder": false
+    "dataNoOrder": true
   },
   "algorithm": "基础神经网络NN"
 }
\ No newline at end of file