Comments (1)
I'm sorry that the Fmax and AUPR provided by the test script confuse you. The standard evaluation script is "evaluation_matrics.py", which consider all the accept threshold (probability between 0.01-0.99), as well as the ancestor function filling.
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Related Issues (18)
- predictor.py error HOT 2
- Issues of unziping the dataset HOT 3
- Protein data with B chains could not be downloaded when collecting AF data HOT 2
- The download link for the dataset is no longer available. HOT 3
- HGT
- Is the PDBch test set compared with DeepGO? Is the AFch test set compared with DeepGOPlus?
- dataset link not working
- About all model_*CLaf.pt
- Dataset link has expired
- model.load_state_dict(torch.load(f'model/model_{task}CL.pt',map_location=device)) error
- Urgent! Missing key(s) in state_dict of provided models HOT 3
- 段错误 (核心已转储) HOT 2
- graph input HOT 1
- Missing file: args.esm1b_model --contact- regression.pt HOT 3
- I would like to re-generate datasets such as train_graph.pt and train_pdbch.pt using a higher version of pyg HOT 5
- esm1b only supports input sequence lengths up to 1024, how to handle proteins with sequence lengths greater than 1024 HOT 1
- how to get pdb files of proteins without in alphafold2 database HOT 7
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