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Adding active learning regression implementations based on greedy sampling #167

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MatthiasPicard opened this issue Apr 30, 2023 · 2 comments

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@MatthiasPicard
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MatthiasPicard commented Apr 30, 2023

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?

@Pineandgrass
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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

@Pineandgrass
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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.

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