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

MULAN Wrapper #61

Open
FernandoSaez95 opened this issue Dec 24, 2018 · 4 comments
Open

MULAN Wrapper #61

FernandoSaez95 opened this issue Dec 24, 2018 · 4 comments

Comments

@FernandoSaez95
Copy link

Hello,

Can I add more MULAN methods to the wrapper?

I have seen there is only possible to use BR, LP, CLR, RAkELn, MLkNN, IBLR_ML, BPMLL and HOMER. What should I do if I would want to use for example Ensemble Classifier Chains of MULAN?

Thank you.

@jmread
Copy link
Contributor

jmread commented Dec 24, 2018

Hi,

Ensemble of Classifier Chains is already implemented in MEKA. If you want to use the MULAN version you will need to write a new entry for MULAN.java, e.g.,
else if (m_MethodString.equals("ECC")) { ... etc.

Also note that BR, LP, RAkEL,. are also implemented directly in MEKA.

@FernandoSaez95
Copy link
Author

Thank you!!! So helpful.

Could you please tell me which method of MEKA API should I use for Ensemble of Classifier Chains?

@jmread
Copy link
Contributor

jmread commented Jan 5, 2019

One example would be meka.classifiers.multilabel.meta.BaggingML using meka.classifiers.multilabel.CC.

@m-bittencourt
Copy link

Hello,

I need to work with MMPLearner in incremental learning. Is it possible to work with Mulan wrapper in this scenario?

Thank you.

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

No branches or pull requests

4 participants