#DDN Forecasting
git clone https://github.com/Vikr-182/ddn-forecasting
Find the top 1000sq in data/
folder.
python3 script_train.py --train_dir <path/to/train/dataset> --test_dir <path/to/val/dir> --lr 0.0005 --traj_save_path <path/to/saved/results> --end_epoch 10
If using the MLP model, make sure to flatten using the --flatten
option -
python3 script_train.py --train_dir <path/to/train/dataset> --test_dir <path/to/val/dir> --lr 0.0005 --traj_save_path <path/to/saved/results> --flatten
python3 script_train.py --test --train_dir <path/to/train/dataset> --test_dir <path/to/test/dir> --traj_save_path <path/to/saved/results>