{
  "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
  }
}