{
  "_notes": [
    "CD tower only, regression head predicting vf_md.",
    "Mirrors ensemble_fused architecture (eye-level fusion → patient-level hb → head)",
    "with the img tower removed, so neg_mse is directly comparable to baseline_reg_nt50."
  ],
  "run_name": "v4/cd_solo_reg",
  "num_classes": 2,
  "label_filter": [0, 1, 2],
  "split_identity_level": 1,
  "eval_stage": "hb",
  "save_predictions": true,
  "seed": 1234,
  "folds": 5,
  "fold_seed": 100,
  "output_root": "v4/results",
  "out_dir_tags": ["binary"],
  "data": {
    "module": "v4.classes.profiles.v4papila",
    "args": {
      "image_dir": "Papila/FundusImages",
      "clinical_dir": "Papila/ClinicalData",
      "label_col": "Diagnosis",
      "iop_corr_method": "ratio",
      "iop_drop_raw": true,
      "exclude_cols": ["Axial_Length"],
      "in_memory_cache": true
    }
  },
  "towers": [
    {
      "name": "cd",
      "module": "v4.classes.towers.clinical_tower",
      "class": "ClinicalEncoder",
      "data_source": "matrix",
      "args": { "hidden_dim": 128 }
    }
  ],
  "stages": [
    {
      "name": "cd_warm",
      "type": "warm",
      "tower": "cd",
      "head_name": "cd_aux",
      "level": "eye",
      "epochs": 40
    },
    {
      "name": "cd_aux",
      "type": "head",
      "input": "cd",
      "train_with": "cd_fuse",
      "module": "v4.classes.heads.regression",
      "class":  "RegressionHead",
      "args":   { "dropout": 0.3, "target_key": "vf_md", "loss": "mse" }
    },
    {
      "name": "cd_fuse",
      "type": "fusion",
      "module": "v4.classes.bridges.mono_bridge",
      "class": "MonoBridge",
      "inputs": ["cd"],
      "level": "eye",
      "epochs": 50,
      "train_towers": true,
      "args": { "use_ln": false }
    },
    {
      "name": "cd_fuse_head",
      "type": "head",
      "input": "cd_fuse",
      "train_with": "cd_fuse",
      "module": "v4.classes.heads.regression",
      "class":  "RegressionHead",
      "args":   { "dropout": 0.3, "target_key": "vf_md", "loss": "mse" }
    },
    {
      "name": "hb",
      "type": "fusion",
      "module": "v4.classes.bridges.hyperbridge",
      "class": "HyperBridge",
      "inputs": { "a": "cd_fuse", "b": "cd_fuse" },
      "level": "patient",
      "epochs": 10,
      "args": { "hidden_dim": 256, "mode": "embedding_mlp" }
    },
    {
      "name": "hb_head",
      "type": "head",
      "input": "hb",
      "train_with": "hb",
      "module": "v4.classes.heads.regression",
      "class":  "RegressionHead",
      "args":   { "dropout": 0.3, "target_key": "vf_md", "loss": "mse" }
    }
  ],
  "training": {
    "lr": 1e-4,
    "batch_size": 8,
    "tune_binary_threshold": true
  }
}