general:
  # Run mode. Options are 'prod' or 'dev'.
  run_mode: prod

dataset:
  input_dir: data/recordings
  num_slices: 8
  train_split: 0.8
  val_split : 0.2
  seed: 25
  modulation_types: [bpsk, qpsk, qam16, qam64]
  output_dir: data/dataset

training:
  batch_size: 64
  epochs: 50
  learning_rate: 0.001
  checkpoint_dir: checkpoint_files
  checkpoint_filename: inference_recognition_model
  use_gpu: true

inference:
  num_classes: 4

app:
  build_dir: dist