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Tune ETSformer hyperparameters in PyPOTS with NNI.
4. Expected behavior
2024-05-28 15:18:24 [INFO]: Have set the random seed as 2022 for numpy and pytorch.
2024-05-28 15:18:24 [INFO]: The tunner assigns a new group of params: {'n_steps': 48, 'n_features': 35, 'epochs': 100, 'patience': 10, 'n_e_layers': 2, 'n_d_layers': 3, 'd_model': 128, 'd_ffn': 1024, 'n_heads': 8, 'top_k': 3, 'dropout': 0.4, 'lr': 0.008927675977610391}
Traceback (most recent call last):
File "/home/linglong/data/linglong/.conda/envs/pypots/bin/pypots-cli", line 8, in <module>
sys.exit(main())
File "/home/linglong/data/linglong/.conda/envs/pypots/lib/python3.10/site-packages/pypots/cli/pypots_cli.py", line 37, in main
service.run()
File "/home/linglong/data/linglong/.conda/envs/pypots/lib/python3.10/site-packages/pypots/cli/tuning.py", line 249, in run
raise RuntimeError(
RuntimeError: Hyperparameters do not match. Mismatched hyperparameters (in the tuning configuration but not in the given model's arguments): ['top_k', 'd_ffn', 'n_heads', 'n_d_layers', 'n_e_layers', 'dropout']
The text was updated successfully, but these errors were encountered:
1. System Info
PyPOTS v0.5
2. Information
3. Reproduction
Tune ETSformer hyperparameters in PyPOTS with NNI.
4. Expected behavior
The text was updated successfully, but these errors were encountered: