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
File size: 327 Bytes
7b509af | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"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
}
} |