Adding active learning regression implementations based on greedy sampling
MatthiasPicard opened this issue · 2 comments
Hello!
I would love to contribute to modAL, I feel like there are not many examples of regression problems in the documentation.
I can try to add my touch to modAL/examples by implementing the algorithms presented in this paper:
https://arxiv.org/pdf/1808.04245.pdf as custom query strategies.
Does that look good?
Hello！I am an undergraduate majoring in automation, and recently I want to use greedy sampling method for active learning of cell data. However, after reading the paper, I am a little confused about the specific python structure of GSx and iGS methods‘s custom query strategies. Could you provide python programs for these two methods. I would appreciate it
Hello! I would love to contribute to modAL, I feel like there are not many examples of regression problems in the documentation.
I can try to add my touch to modAL/examples by implementing the algorithms presented in this paper: https://arxiv.org/pdf/1808.04245.pdf as custom query strategies.
Does that look good?
Hello！I am an undergraduate majoring in automation, and recently I want to use greedy sampling method for active learning of cell data. I think the method in the paper will be much more optimized than the original method. However, after reading the paper, I am a little confused about the specific python structure of GSx and iGS methods‘s custom query strategies. Could you provide python programs for these two methods. I would appreciate it.