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View Code? Open in Web Editor NEWDeep unsupervised feature selection by discarding nuisance and correlated features
License: MIT License
Deep unsupervised feature selection by discarding nuisance and correlated features
License: MIT License
Hello,
I'm trying to run your example on Google Colab, but I'm getting this error when installing from pip.
!pip install lscae
ERROR: Could not find a version that satisfies the requirement lscae (from versions: none)
ERROR: No matching distribution found for lscae
Any suggestion would be appreciated.
Hi,
Thanks for the cool work! When I run this code on my own data, I find that the selected features are not unique. In my case, I have around 1600 features, and I try to select a subset of features using your algorithm. However, there are 880 unique features if I set the k_selected paramter to 1500. The duplication is true even if i choose a small subset of features, for example, 200 out of 1600.
My question is, how can I get exact K distinct features if k_selected==K? I want to figure out the minimal number of features needed for my task.
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