Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Over-sampling #43

Open
shaimove opened this issue May 1, 2023 · 1 comment
Open

Over-sampling #43

shaimove opened this issue May 1, 2023 · 1 comment

Comments

@shaimove
Copy link

shaimove commented May 1, 2023

Hi,
I am working on a regression problem, and I want to use SMOTER' the problem is that I don't understand how to oversample my data significantly. My input dataframe size is [716,3457], and the output is about the same size ([1068,3457]).
I read the function and the examples, and couldn't understand how to do it.
Specifically, I using DeepSMOTE method to create additional synthetic signals, so the oversampling is done on the latent space after the encoder.
Thanks,
Sharon

@nickkunz
Copy link
Owner

nickkunz commented May 3, 2023

Hello Sharon,

Thank you for your question. I would encourage you to review the paper found in the Reference section of the repo. Let me know if this helps.

Branco, P., Torgo, L., Ribeiro, R. (2017). SMOGN: A Pre-Processing Approach for Imbalanced Regression. Proceedings of Machine Learning Research, 74:36-50. http://proceedings.mlr.press/v74/branco17a/branco17a.pdf.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants