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FC_ML_Baseline/FC_ML_Baseline_Test/Data_Handle/param.json

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+{
+  "files": ["sample1.CSV"],
+  "path": "D:\\liyong\\project\\TVS_ML\\FC_ML_Baseline\\FC_ML_Baseline_Test\\Data_Handle"
+}

FC_ML_Baseline/FC_ML_Baseline_Test/Train/param.json

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+{
+  "path": ["D:\\liyong\\project\\TVS_ML\\FC_ML_Baseline\\FC_ML_Baseline_Test\\Train"],
+  "algorithmParam": {
+    "algorithm": "多项式拟合",
+    "activateFun": "sigmod",
+    "lossFun": "l1",
+    "optimizeFun": "sgd",
+    "exportFormat": ".onnx",
+    "trainingRatio": 80,
+    "loadSize": 32,
+    "studyPercent": 0.001,
+    "stepCounts": 3,
+    "roundPrint": 11,
+    "round": 1001,
+    "preDisposeData": false,
+    "disposeMethod": "minmax",
+    "dataNoOrder": false
+  },
+  "algorithm": "基础神经网络NN"
+}

FC_ML_Baseline/FC_ML_Baseline_Test/pred/param.json

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+{
+  "modelFile": "model.onnx",
+  "path": "D:\\liyong\\project\\TVS_ML\\FC_ML_Baseline\\FC_ML_Baseline_Test\\pred",
+  "modelParams": {
+    "inputSize": 3,
+    "outputSize": 3,
+    "normalizerType": "minmax",
+    "normalizerMax": 100,
+    "normalizerMin": 10
+  },
+  "input": [
+    {
+      "name": "质量",
+      "value": 1
+    }, {
+      "name": "系数",
+      "value": 2
+    }
+  ]
+}