-
Notifications
You must be signed in to change notification settings - Fork 106
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
META-DES.o #147
Comments
Hello, I checked pyswarms library and although they do not offer the same BPSO implementation (with the custom V and S-shaped transfer functions) used in the article. However, it could be used as backend and customized in order to have the same implementation as in the paper. One important thing is, the DESlib implementation of META-DES only using the five sets of meta-features that was defined in the original version of the META-DES framework. The META-DES.O added some new meta-features, so another thing that would need to be done is to add the new sets of meta-features. This should not be very difficult since they are mainly based on the probabilistic functions which are already implemented in the utils/prob_functions.py file. We have plans to add this method in the next version of the lib. |
Hi, I could possibly lend a hand in developing this if need be. |
Hello, at the moment I'm working on the BPSO implementation which should be done probably tomorrow, and the additional stuffs to like global validation to prevent overfitting in the selection stage. With that we will have almost all components necessary to finish the META-DES.Oracle given that computing the majority of the additional meta-features can be done calling the functions from utils.prob_functions module. It would be very good if you are to help, let me know in which part you want or can. |
Is it possible to get the behavior in this paper using your META-DES and pyswarms:
https://arxiv.org/pdf/1811.00217.pdf
Thanks
The text was updated successfully, but these errors were encountered: