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@yuritpinheiro
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I would like to contribute with a new drift detector.

TEDA-CDD is a evolving memory efficient drift detector.

@hoanganhngo610
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hoanganhngo610 commented Jul 27, 2024

@yuritpinheiro Hi Yuri. First of all, thank you very much for your initiative to contribute to River by implementing TEDA-CDD. However, if I'm seeing it correctly, you have not added any line of code into the teda_cdd.py file. If this PR remains at this state, I regret to say that I will have to close this PR.

@yuritpinheiro
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I'm sorry. I needed the link to the PR but i'm still working on the source. This week, I will add the code properly.

@hoanganhngo610
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@yuritpinheiro Thank you so much for your response! I look forward to your contributions!

@hoanganhngo610
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Hi @yuritpinheiro.

First of all, thank you very much for your implementation, and congratulations on the great work published on IEEE Access.

I see this PR is still set as a work in progress, as such, may I ask have you finished with the implementation? If yes, I would proceed to make it ready for review, and start the review process ASAP!

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2 participants