aws-samples / amazon-sagemaker-protein-classification
Implementation of Protein Classification based on subcellular localization using ProtBert(Rostlab/prot_bert_bfd_localization) model from Hugging Face library, based on BERT model trained on large corpus of protein sequences.
Summary
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| Main Code: 285 LOC (4 files) = PY (100%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 41 LOC (2); |
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| File Size: 0% long (>1000 LOC), 100% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 64% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 64% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (1 component) | ||
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1 year, 1 month old
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0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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| Goals: Keep the system simple and easy to change (4) | |||
Latest commit date: 2021-02-15
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