program: ./scripts/train.py
name: informer-btcusdt-5m-gmadl-eval
project: wne-masters-thesis-testing
command:
  - ${env}
  - ${interpreter}
  - ${program}
  - "./configs/experiments/informer-btcusdt-5m-gmadl.yaml"
  - "--patience"
  - "20"
  - "--store-predictions"
method: grid
metric:
  goal: minimize
  name: val_loss
parameters:
  data:
    parameters:
      dataset: 
        value: "btc-5m-features-full:latest"
      validation:
        value: 0.2
      sliding_window:
        # min: 0 # Use values for grid search
        # max: 5
        values: [0, 1, 2, 3, 4, 5] # Explicitly list values for grid search