Active Learning #610
Active Learning #610
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@googlebot I consent. 🎉 |
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@dusenberrymw This should now have addressed your comments, contain docstrings and tests. |
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Thanks, Joost & Andreas! This LGTM. I'll pull it in and merge.
Three comments/questions:
- Have you both singed the CLA?
- Can you squash the commits to a single commit?
- Also, I believe the commit message for that single commit can be edited such that GitHub will recognize two co-authors if you're interested in having both of you attributed to the commit. I've never done it, but here's the guide.
Uses predictive entropy as acquisition function and a fixed amount of learning steps, for now. Co-authored-by: Andreas Kirsch <blackhc@gmail.com>
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LGTM as well! Excited to have the code in. |
A UB code style version of the AL notebook. There are several small open todos in the code, but for the majority we (Andreas+me) thought it's time to share and obtain some feedback on the approach.
This script obtains ~80-90% accuracy with ~150 CIFAR-10 samples.
Open todo:
A test followingdeterministic_test.py.Followpylintstyle from the repoAdd docstringsLeft for follow up PR: Proper LR schedule and early stopping - this will improve performance significantly.
Joint work with @BlackHC (Andreas).