LassoNet-Unsupervised Feature Selection
zhangyunz opened this issue · comments
Hi,
I would like to use lassonet as an unsupervised feature selection algorithm, and I have made some attempts. However, it seems that I didn't get the correct outcome.
My use case:
I have an input matrix without labels, and I want to have a new reduced matrix with only several important features. I also want to know which features have been selected.
Minimal reproducible code-snippet?
What should I do next regarding this issue?
Hi, what is the problem? If it is that the number of features decreases too fast, you could try a smaller path_multiplier
.