Types of features after loading

scikit-learn-contrib / imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

https://imbalanced-learn.org

MIT License

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Types of features after loading #968

Closed dionman closed 1 year ago

dionman commented 1 year ago

I'm running some scripts with https://github.com/scikit-learn-contrib/imbalanced-learn/blob/master/imblearn/datasets/_zenodo.py. I see that all features (including categorical) are parsed as floats. Does this have any downstream artifacts? How is classification successfully tackled?