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There is this fantastic pull request in sklearn which does not apply the loss value to parts of the matrix which have nan values. scikit-learn/scikit-learn#8474
Is this possible in pytorch-NMF at present?
The text was updated successfully, but these errors were encountered:
Hi @PolarBean , thanks for asking.
I have a very brief look at the PR you mentioned.
It looks like it's a weighted version of NMF, and can be handled with masked tensors. https://pytorch.org/tutorials/prototype/maskedtensor_overview
I'll have a proper look when I have the time, but it sounds doable.
There is this fantastic pull request in sklearn which does not apply the loss value to parts of the matrix which have nan values. scikit-learn/scikit-learn#8474
Is this possible in pytorch-NMF at present?
The text was updated successfully, but these errors were encountered: