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Add support for unsupervised models #37

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nshaud opened this issue Dec 2, 2020 · 1 comment

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nshaud commented Dec 2, 2020

Maybe out of scope for this toolbox.

The toolbox currently work with the assumption that the models are supervised. Working with unsupervised models (e.g. autoencoders) could be helpful.

Support other criterions in models.py (easy)
Support other metrics in metrics() (medium)
Either support no target or target = data (e.g. autoencoder) (hard)

nshaud added the enhancement label

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mengxue-rs commented Dec 4, 2020

Interesting features, I'd like to try although I am not familiar with coding unsupervised models. -)

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