Instructions to use scikit-learn-examples/example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use scikit-learn-examples/example with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("scikit-learn-examples/example", "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
Download class_definitions.py from scikit-learn-examples/example: direct link, hf CLI and curl.
- Browser
- Download file 123 Bytes
-
https://huggingface.co/scikit-learn-examples/example/resolve/main/class_definitions.py
- Command line
-
hf download hf://scikit-learn-examples/example/class_definitions.py
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curl -L -o class_definitions.py https://huggingface.co/scikit-learn-examples/example/resolve/main/class_definitions.py
123 Bytes
| from sklearn.pipeline import Pipeline | |
| class MyPipeline(Pipeline): | |
| def __init__(self, steps): | |
| super().__init__(steps) |