| { | |
| "framework": "PyTorch/NumPy/scikit-learn", | |
| "task": "causal-network-evaluation-and-precipitation-constraint", | |
| "model": "CausalModelEvaluation", | |
| "input_format": "T50 or BT50", | |
| "output_format": "source-target-lag tensors [50,50,10]", | |
| "protocol": "lagged conditional regression approximation to linear PCMCI plus asymmetric signed F1, Taylor S-score, and RBF+white GP", | |
| "default_config": "conf/config.yaml", | |
| "training": "scripts/train.py", | |
| "inference": "scripts/inference.py", | |
| "evaluation": "scripts/result.py", | |
| "visualization": "scripts/result.py" | |
| } | |