Download conf/config.yaml from OneScience-Group/Streamflow-LSTM: direct link, hf CLI and curl.
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https://huggingface.co/OneScience-Group/Streamflow-LSTM/resolve/main/conf/config.yaml
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hf download hf://OneScience-Group/Streamflow-LSTM/conf/config.yaml
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curl -L -o config.yaml https://huggingface.co/OneScience-Group/Streamflow-LSTM/resolve/main/conf/config.yaml
1.19 kB
| { | |
| "seed": 2026, | |
| "data": { | |
| "format_version": "streamflow-lstm-v1", | |
| "path": "data/streamflow_fake.npz", | |
| "gauges": ["BNDN5", "ARWN8", "TCCC1", "CARO2", "ESSC2", "NFDC1", "LABW4", "CLNK1", "TRAC2", "NFSW4"], | |
| "input_variables": 23, | |
| "history_steps": 28, | |
| "step_hours": 6, | |
| "forecast_steps": 40, | |
| "train_samples": 48, | |
| "validation_samples": 12, | |
| "forecast_cases": 12 | |
| }, | |
| "model": { | |
| "hidden_size": 16, | |
| "num_layers": 3, | |
| "dropout": 0.1 | |
| }, | |
| "paper_model": { | |
| "hidden_size": 50, | |
| "num_layers": 3, | |
| "activations": ["relu", "relu", "tanh"], | |
| "ensemble_members_per_gauge": 100, | |
| "best_members": 5, | |
| "epochs": 10 | |
| }, | |
| "training": { | |
| "ensemble_members_per_gauge": 2, | |
| "best_members": 2, | |
| "epochs": 10, | |
| "batch_size": 16, | |
| "learning_rate": 0.001, | |
| "loss": "MSE" | |
| }, | |
| "runtime": {"device": "auto", "num_threads": 2}, | |
| "paths": { | |
| "checkpoint": "result/checkpoints/streamflow_lstm.pt", | |
| "training_metrics": "result/training/metrics.json", | |
| "predictions": "result/output/predictions.npz", | |
| "evaluation_metrics": "result/evaluation/metrics.json", | |
| "comparison": "result/evaluation/comparison.png" | |
| } | |
| } | |