Instructions to use kurtulus7182/SEPrimer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use kurtulus7182/SEPrimer with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("kurtulus7182/SEPrimer", "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: 377 Bytes
2e720cf | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"schema_version": 1,
"features": ["seviye", "karar_suresi_sn", "onceki_yanlis_sayisi", "ipucu_sayisi", "sahne_no"],
"ranges": [[0, 1], [0, 600], [0, 2], [0, 30], [1, 3]],
"integer_features": [0, 2, 3, 4],
"labels": {"0": "normal_akis", "1": "kriz_freni"},
"decision_threshold": 0.6,
"acceptance_accuracy": 0.75,
"tolerance": 0.0001,
"seed": 42
}
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