Manage complex experiments with YAML config files.
experiment_name: "unet_sentinel2_v1"
data:
path: "data/train.csv"
batch_size: 32
num_workers: 4
model:
name: "unet"
encoder: "resnet34"
pretrained: true
optimizer:
name: "adamw"
lr: 1e-4
weight_decay: 1e-2from ununennium.config import load_config
cfg = load_config("config.yaml")