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

do you know Utility-based regression UBR code only in python, not R? #1

Open
Sandy4321 opened this issue Feb 14, 2021 · 2 comments
Open
Labels
enhancement New feature or request

Comments

@Sandy4321
Copy link

great code thanks

1
do you know Utility-based regression UBR code only in python, not R?
2
why you did not used this
https://cran.r-project.org/web/packages/UBL/UBL.pdf

Package ‘UBL’
July 13, 2017
Type Package
Title An Implementation of Re-Sampling Approaches to Utility-Based
Learning for Both Classification and Regression Tasks
Description
Provides a set of functions that can be used to obtain better predictive performance on costsensitive and cost/benefits tasks (for both regression and classification). This includes resampling approaches that modify the original data set biasing it towards the user preferences.

@hiyamgh
Copy link
Owner

hiyamgh commented Feb 15, 2021

Hello @Sandy4321 , thanks for the comment.

We were actually interested in SMOGN (Utility Based Regression), which internally uses UBL.

For more infor about SMOGN, see this repository for branco et al: https://github.com/paobranco/SMOGN-LIDTA17. It also accounts for data resampling techniques, and since our problem is a regression problem, then UBR (utility based regression) is the best option.

@hiyamgh
Copy link
Owner

hiyamgh commented Feb 15, 2021

The repo linked above is originally in R, we made appropriate codes in python so we could be consistent with what we use.

@hiyamgh hiyamgh added the enhancement New feature or request label Feb 15, 2021
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request
Projects
None yet
Development

No branches or pull requests

2 participants