Instructions to use sklearn-docs/anomaly-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use sklearn-docs/anomaly-detection with Scikit-learn:
import joblib from skops.hub_utils import download download("sklearn-docs/anomaly-detection", "path_to_folder") model = joblib.load( "isolation_forest.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
Download plot_path.png from sklearn-docs/anomaly-detection: direct link, hf CLI and curl.
- Browser
- Download file 51.9 kB
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https://huggingface.co/sklearn-docs/anomaly-detection/resolve/main/plot_path.png
- Command line
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hf download hf://sklearn-docs/anomaly-detection/plot_path.png
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curl -L -o plot_path.png https://huggingface.co/sklearn-docs/anomaly-detection/resolve/main/plot_path.png
51.9 kB
