base.yaml

data:
  # Paths are resolved from the repository root.
  data_dir: data
  encoder_csv: data/encoder_dataset.csv
  decoder_csv: data/decoder_dataset.csv

cv:
  n_splits: 5
  seed: 42
  group_key: [model_name, dataset_name, seed]

model:
  group_hidden_dim: 32      # h in the per-group encoder
  embedding_dim: 64         # e in the projection layer
  n_message_passing: 3      # rounds of FPG message passing
  dropout: 0.1
  temperature: 0.1          # shared τ for contrastive + prototype matching

training:
  epochs: 150
  lr: 0.001
  weight_decay: 0.0001
  batch_size: 256
  patience: 20
  # Hierarchical loss weights:
  #   L = L_detect + alpha*L_cat + lambda_rc*L_rc + L_sep
  #   L_sep = beta*L_ctr + gamma*L_pm
  alpha: 1.0          # weight on category cross-entropy
  lambda_rc: 1.0      # weight on root-cause cross-entropy
  beta: 0.5           # weight on contrastive term inside L_sep
  gamma: 0.3          # weight on prototype-matching term inside L_sep

seed: 42