rpotter6298
122 lines
3.1 KiB
JSON
122 lines
3.1 KiB
JSON
{
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"_notes": [
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"V4 stage-pipeline: warm → fusion stages with parallel head stages.",
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"Bridges are pure embedding producers; heads are separate swappable stages.",
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"BCD-eligible heads are sampled during tower_warmup and main phases.",
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"eval_stage names the fusion stage whose primary head is used for final metrics."
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],
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"run_name": "v4/ensemble_fused",
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"num_classes": 2,
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"label_filter": [0, 1],
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"split_identity_level": 1,
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"eval_stage": "hb",
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"save_predictions": false,
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"seed": 1234,
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"folds": 5,
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"fold_seed": 100,
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"output_root": "v4/results",
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"out_dir_tags": ["binary", "ntower"],
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"data": {
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"module": "v4.classes.profiles.v4papila",
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"args": {
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"image_dir": "Papila/FundusImages",
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"clinical_dir": "Papila/ClinicalData",
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"label_col": "Diagnosis",
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"iop_corr_method": "ratio",
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"iop_drop_raw": true,
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"exclude_cols": ["Axial_Length"],
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"in_memory_cache": true
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}
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},
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"towers": [
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{
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"name": "img",
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"module": "v4.classes.towers.image_tower",
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"class": "ImageEncoder",
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"data_source": "image",
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"args": {
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"backbone": "refugelike",
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"freeze_ratio": 0.0,
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"augment": true
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}
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},
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{
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"name": "cd",
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"module": "v4.classes.towers.clinical_tower",
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"class": "ClinicalEncoder",
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"data_source": "matrix",
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"args": {
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"hidden_dim": 128
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}
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}
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],
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"stages": [
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{
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"name": "cd_warm",
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"type": "warm",
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"tower": "cd",
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"level": "eye",
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"epochs": 40
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},
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{
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"name": "img_aux",
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"type": "head",
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"input": "img",
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"train_with": "nt",
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"bcd": true
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},
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{
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"name": "cd_aux",
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"type": "head",
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"input": "cd",
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"train_with": "nt",
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"bcd": true
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},
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{
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"name": "nt",
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"type": "fusion",
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"module": "v4.classes.bridges.fusion_bridge",
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"class": "FusionBridge",
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"inputs": ["img", "cd"],
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"level": "eye",
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"epochs": 36,
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"train_towers": true,
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"warmup": { "tower_epochs": 3, "fused_epochs": 3 },
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"args": { "fusion_dim": 256 }
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},
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{
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"name": "nt_head",
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"type": "head",
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"input": "nt",
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"train_with": "nt"
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},
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{
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"name": "hb",
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"type": "fusion",
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"module": "v4.classes.bridges.hyperbridge",
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"class": "HyperBridge",
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"inputs": { "a": "nt", "b": "nt" },
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"level": "patient",
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"epochs": 10,
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"args": { "hidden_dim": 256, "mode": "embedding_mlp" }
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},
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{
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"name": "hb_head",
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"type": "head",
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"input": "hb",
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"train_with": "hb"
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}
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],
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"training": {
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"lr": 1e-4,
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"batch_size": 16,
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"bcd_prob": 0.5,
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"tune_binary_threshold": true
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}
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}
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