training/Resources/Test/test_train.yaml

device: 'cuda'

data:
  train_dataset: ["D:\\Repos\\LungTumorSegmentation\\Resources\\Test\\data_test_train.yaml",
    "D:\\Repos\\LungTumorSegmentation\\Resources\\Test\\data_test_train.yaml",
    "D:\\Repos\\LungTumorSegmentation\\Resources\\Test\\data_test_train.yaml"]
  aug_prob: 0.0
  scale_dim:
    d_0: 64
    d_1: 64
    d_2: 64

model:
  architecture: UNet_monai
  loss: DiceLoss
  weights: 
  filter_base: 32
  filter_expansion: 2
  filters: [2, 3, 4, 5]
  optimizer:
    name: 'Adam'
    lr: 0.001

train:
  max_epochs: 3
  val_frequency: 1
  output_threshold: 0.5
  metric_path: "D:\\Repos\\LungTumorSegmentation\\metrics.csv"
  save_frequency: 5
  model_directory: "D:\\Repos\\LungTumorSegmentation\\models\\"
  batch_size: 3