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Congrats for the work and thanks for the code and examples. Looking forward for the paper!
If we'd like to use UMAP with the features that output a CNN, for example on MNIST dataset. Do the features need to be zero-centered? Or in some range?
I get the following error when running fit_transform(data): "ZeroDivisionError: division by zero".
Thanks again,
Amelia.
The text was updated successfully, but these errors were encountered:
I too had the same error, it has been fixed on the master; however, if you use pip install to download umap, you will still need to find the repo with the setup.py file (generated when you unzip umap-master). Once you are in the directory with setup.py, from command line run the following:
python setup.py install
This should fix your problem.
Also if you have anymore questions please check the closed issues, as this has already been solved.
I am however still interested in your comment about zero-centred data. I would like to know if UMAP is intended to be used only on data-sets, where the features have been normalised, or zero-centred?
Hello Leland,
Congrats for the work and thanks for the code and examples. Looking forward for the paper!
If we'd like to use UMAP with the features that output a CNN, for example on MNIST dataset. Do the features need to be zero-centered? Or in some range?
I get the following error when running fit_transform(data): "ZeroDivisionError: division by zero".
Thanks again,
Amelia.
The text was updated successfully, but these errors were encountered: