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
Commit ·
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pushing files to the repo
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- plot_path.png +0 -0
README.md
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[More Information Needed]
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```
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```
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[More Information Needed]
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```
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# Decision Boundary
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# Plot paths
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decision_boundary.png
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plot_path.png
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