Instructions to use merve/xgboost-example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use merve/xgboost-example with Scikit-learn:
import joblib from skops.hub_utils import download download("merve/xgboost-example", "path_to_folder") model = joblib.load( "model.pkl" ) # 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
- Xet hash:
- 1f88a2011a7b198aa2ee2ef80cd449d0f295d91c832e81fa3a73b132356075cf
- Size of remote file:
- 219 kB
- SHA256:
- e3fd2d9124da96af9c5bb19e0ae8a90b8c47016b490de4b460cb357f79119815
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