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lifelong learning enhancements tracking issue #85

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1 of 7 tasks
llhuii opened this issue Jun 4, 2021 · 3 comments
Open
1 of 7 tasks

lifelong learning enhancements tracking issue #85

llhuii opened this issue Jun 4, 2021 · 3 comments
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kind/feature Categorizes issue or PR as related to a new feature.

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@llhuii
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llhuii commented Jun 4, 2021

This issue is to track these known lifelong learning added in #72 enhancements to be done:

  • KB server need its standalone code directory instead of placing into lib directory
  • KB API need to be reviewed again(such as /file/download, /file/upload)
  • Reduce KB image size(v0.3.0 is 1.28G showed by docker-images)
  • In multi-task-learning of lib code, need to add docs and code comment
  • Remove scikit-learn requirement for federated-learning surface-defect-detection example
  • Reduce lifelong example image size(v0.3.0 is 1.36G)
  • Review the requirements of lib
@llhuii llhuii added the kind/feature Categorizes issue or PR as related to a new feature. label Jun 4, 2021
@JoeyHwong-gk
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(sedna-example-lifelong-learning-atcii-classifier)[https://github.com/kubeedge/sedna/tree/main/examples/lifelong_learning/atcii] run fail

  1. backend_type should change to sklearn not tensorflow

@llhuii
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llhuii commented Jun 9, 2021

progress:

  1. Reduce KB image size(v0.3.0 is 1.28G showed by docker-images) ==> reduced to 315MB

@JoeyHwong-gk
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JoeyHwong-gk commented Jun 16, 2021

  • S3 storage support is not user-friendly.
  • too many param in lifelong-learning/multi-task-learning

JoeyHwong-gk added a commit to JoeyHwong-gk/sedna that referenced this issue Jun 17, 2021
- Add docs and code comment
- S3 storage support
- Reduce parameters for initial

Signed-off-by: JoeyHwong <joeyhwong@gknow.cn>
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