Instructions to use kevinkyi/Homework2_Classical_ML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use kevinkyi/Homework2_Classical_ML with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("kevinkyi/Homework2_Classical_ML", "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
| { | |
| "task": "binary_classification", | |
| "label": "Elite", | |
| "seed": 42, | |
| "time_limit_sec": 300, | |
| "eval_metric": "f1", | |
| "feature_columns": [ | |
| "Tgt", | |
| "Rec", | |
| "Yds", | |
| "YBC_per_R", | |
| "YAC_per_R", | |
| "ADOT", | |
| "Drop_pct", | |
| "Rat" | |
| ], | |
| "test_metrics": { | |
| "accuracy": 0.8333333333333334, | |
| "f1": 0.8 | |
| } | |
| } |