Text Classification
Joblib
Scikit-learn
English
scikit-learn
sklearn-logistic-regression
document-classification
binary-classification
legal-documents
hoa
property-management
ccr
declaration-of-covenants
logistic-regression
Eval Results (legacy)
Instructions to use GoverningDocs/ccr-binary-logreg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use GoverningDocs/ccr-binary-logreg with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("GoverningDocs/ccr-binary-logreg", "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
T18 isotonic recalibration Phase 3: calibrator artifact (test ECE 0.278 -> 0.087)
Browse files
ccr_binary_isotonic_calibrator.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:9dbc0f3f4d6c79e5c5dde500147ef835c258f77ee829766b95aa6b9cc8376367
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size 14459
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