Tabular Classification
Scikit-learn
English
stacking-ensemble
xgboost
catboost
lightgbm
adaboost
randomforest
Eval Results (legacy)
Instructions to use mrsindhunugroho/stacking-ensemble-learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use mrsindhunugroho/stacking-ensemble-learning with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("mrsindhunugroho/stacking-ensemble-learning", "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
Delete Stacking_Ensemble/catboost_info/learn/events.out.tfevents
Browse files
Stacking_Ensemble/catboost_info/learn/events.out.tfevents
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