Instructions to use SamaGalagoda/threadcraft-measurement-predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use SamaGalagoda/threadcraft-measurement-predictor with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("SamaGalagoda/threadcraft-measurement-predictor", "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
| percentile,false_positive,catch_10pct,catch_20pct,catch_2x | |
| 90.0,0.14130021543530605,0.8955772398935496,0.9978456469395514,1.0 | |
| 95.0,0.07679635027246229,0.8422253199847927,0.9960714738309466,1.0 | |
| 97.5,0.043087061208972245,0.7838043340514509,0.9934102141680395,1.0 | |
| 99.0,0.022177163857559246,0.7007983778988721,0.9858066151311621,1.0 | |
| 99.5,0.012292485109618553,0.6293245469522242,0.9809910024078062,1.0 | |