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loras/python_sklearn/README.md
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# python_sklearn
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**Rank**: 100 | **Loss**: 3.6383
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scikit-learn expert. Pipelines, cross-validation, feature engineering, model selection, tuning.
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loras/python_sklearn/adapter.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:d11ea531c9ccfb3566d95dba27c3d3ca8470e8c8f984dbaeb3059f4e9b43b52f
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size 697177068
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loras/python_sklearn/config.json
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{"name": "python_sklearn", "system": "scikit-learn expert. Pipelines, cross-validation, feature engineering, model selection, tuning.", "rank": 100, "alpha": 200, "scaling": 2.0, "best_loss": 3.6383378505706787, "train_time": 69.99355387687683, "samples": 3000, "type": "coding", "gpu": "H100 (Modal)", "by": "NiftyOracle codesymb.com"}
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