添加机器学习,调用尚未完善.

src-tauri/assets/models/model_metadata.json

@@ -0,0 +1,103 @@
+{
+  "model_scope": "1d time-series tactile force compensation",
+  "channel_count": 84,
+  "feature_names": [
+    "sensor_sum",
+    "sensor_mean",
+    "sensor_max",
+    "sensor_min",
+    "sensor_range",
+    "sensor_std",
+    "top5_sum",
+    "baseline_sum",
+    "delta_from_baseline",
+    "naive_force_n",
+    "slope_1",
+    "slope_5",
+    "slope_20",
+    "slope_100",
+    "mean_5",
+    "mean_20",
+    "mean_100",
+    "mean_300",
+    "short_minus_mid",
+    "mid_minus_long",
+    "age_above_touch"
+  ],
+  "feature_engineering": {
+    "current_row_stats": [
+      "sensor_sum",
+      "sensor_mean",
+      "sensor_max",
+      "sensor_min",
+      "sensor_range",
+      "sensor_std",
+      "top5_sum"
+    ],
+    "rolling_mean_windows": [
+      5,
+      20,
+      100,
+      300
+    ],
+    "slope_windows": [
+      1,
+      5,
+      20,
+      100
+    ],
+    "topk_channels": 5,
+    "baseline_feature": "baseline_sum",
+    "age_above_touch_feature": "age_above_touch",
+    "naive_force_feature": "naive_force_n"
+  },
+  "inference_pipeline": [
+    "build 21 numeric features in the order listed by feature_names",
+    "run classifier.onnx or classifier.cbm",
+    "if predicted_state == 0 then output 0.0 N",
+    "otherwise run regressor.onnx or regressor.cbm and clamp to >= 0.0 N"
+  ],
+  "calibration_points": [
+    {
+      "sensor_sum": 74602.73399170733,
+      "force_n": 0.9800000000000001
+    },
+    {
+      "sensor_sum": 105503.9038227644,
+      "force_n": 1.9600000000000002
+    },
+    {
+      "sensor_sum": 131459.57643184246,
+      "force_n": 2.94
+    },
+    {
+      "sensor_sum": 153512.34776297462,
+      "force_n": 3.9200000000000004
+    },
+    {
+      "sensor_sum": 172041.11212077862,
+      "force_n": 4.9
+    },
+    {
+      "sensor_sum": 193794.83789260528,
+      "force_n": 5.88
+    },
+    {
+      "sensor_sum": 218947.72467683573,
+      "force_n": 7.840000000000001
+    },
+    {
+      "sensor_sum": 240580.4449421614,
+      "force_n": 9.8
+    }
+  ],
+  "training_args": {
+    "positive_step": 80,
+    "zero_step": 40,
+    "classifier_iterations": 500,
+    "regressor_iterations": 700,
+    "depth": 6,
+    "learning_rate": 0.05,
+    "random_seed": 42
+  }
+}