# Experiment Configuration
# ========================

# Cross-Validation Settings
n_folds: 10
random_state: 42
timeout: 86400  # 24 hours per experiment

# Compute Resources
cost_per_hour: 0.90  # USD per GPU-hour (H200)
gpu_type: 'H200'
gpu_memory_limit: 80  # GB
checkpoint_interval: 3600  # Save checkpoint every hour

# Model-Specific Parameters
model_params:
  sap_rpt1:
    context_size: 4096
    bagging_factor: 4
    model_size: 'small'  # or 'large'

  sap_rpt1_hf:
    max_context_size: 4096
    bagging: 4

  tabpfn:
    n_ensemble: 1
    device: 'auto'

  autogluon:
    time_limit: 300  # 5 minutes
    preset: 'medium_quality'  # best_quality, high_quality, good_quality, medium_quality

  xgboost:
    n_estimators: 100
    learning_rate: 0.1
    max_depth: 6

  catboost:
    iterations: 100
    learning_rate: 0.1
    depth: 6

  lightgbm:
    n_estimators: 100
    learning_rate: 0.1
    max_depth: -1

# Evaluation Metrics
primary_metric:
  classification: 'roc_auc'
  regression: 'r2'

# Statistical Testing
statistical_tests:
  friedman_alpha: 0.05
  nemenyi_alpha: 0.05

# Reproducibility
reproducibility:
  save_predictions: true
  save_models: false  # Models can be large
  log_hyperparameters: true
  track_compute: true