Instructions to use wwood/aerobicity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use wwood/aerobicity with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("wwood/aerobicity", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Commit History
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Update README.md
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add default KEGG names file.
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bugfix, output copy number to shap output csv.
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Use xgboost by default.
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17_apply_to_proteome.py: Add shap output
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17_apply_to_proteome.py: Do not croak when only annotations are being generated.
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Update README.md
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README: Update as per Rizky's suggestions.
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README: Update it.
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README: Update it.
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README: Update, add LICENSE.
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Add further important files.
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Update README.md
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Upload XGBoost.model
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initial commit
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