Comments (3)
@microprediction Haha—well, bbopt has a reasonably straightforward interface for adding additional backends, so you could add humpday as a backend if you wanted to use bbopt as your frontend. Additionally, all of bbopt is open-source and freely available, so you're also welcome to just steal things as long as you give credit.
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@microprediction I just spent a bit of time playing around with what it might look like to add a humpday backend to bbopt, and it looks like the biggest roadblock is that it doesn't look like humpday's optimizers support the ability to pass in existing data (i.e. prior evaluations of the objective function). If that was fixed, I could probably integrate humpday into bbopt pretty easily, but without that feature, humpday doesn't really fit into bbopt's model—i.e. ability to stop and resume optimization from data on disk, ability to hot swap between different black box optimization backends, support for multiprocessing, etc.
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Quite true that's a limitation, and the intent of humpday is perhaps more limited than bbopt insofar as it is just supposed to provide an initial comparison. I'm not entirely sure that all the optimizers I call down to support state (e.g. dlib might not) but I'll take a look. It certainly would be useful to stop and restart.
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Related Issues (16)
- Not able to run the optimizer more than 10 times for Keras implementation HOT 3
- Prevent regenerating the model with each run HOT 1
- Add bbopt endpoint which runs many iterations
- [Errno 9] Bad file descriptor HOT 2
- TypeError: Cannot cast array data from dtype('<U4') to dtype('int64') according to the rule 'safe' HOT 4
- Support all scikit-optimize visualization methods HOT 1
- ValueError: 16 is not in list HOT 1
- bbopt seems to be stuck on old version of networkx HOT 6
- run_backend with Mixture option HOT 8
- Add a framework for dealing with converting old bbopt data to new bbopt data
- Add pySOT backend
- Add meta backend HOT 1
- Compatibility with Colab? HOT 4
- [FEATURE]: Run Id should be available in a process HOT 1
- [BUG]: `numpy.random.mtrand.RandomState` object has no attribute `integers` -> switch to `np.random.Generator` HOT 1
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