Comments (4)
Thank you!
from bbopt.
@kmedved It works in Jupyter notebooks—the problem is that Colab specifically doesn't let you write to local files. It looks like if you want to save state in a Colab notebook, you're supposed to write to Google Drive. I'll leave this issue open for adding an option to write to Google Drive.
from bbopt.
Thanks. Would it be possible to put add an example of notebook functionality? I'm getting tripped up on the bb = BlackBoxOptimizer(file=__file__)
line in the examples, which seems more geared for a traditional .py script with a if __name__ == "__main__":
interface.
Apologies for the somewhat simplistic question. Very eager to try this package.
from bbopt.
Yeah, I'll add some docs on that. For now, you should be able to just do:
import os
from bbopt import BlackBoxOptimizer
bb = BlackBoxOptimizer(file=os.path.join(os.getcwd(), "my_project_name"))
from bbopt.
Related Issues (16)
- Not able to run the optimizer more than 10 times for Keras implementation HOT 3
- run_backend with Mixture option HOT 8
- Add a framework for dealing with converting old bbopt data to new bbopt data
- I wish i'd seen this... HOT 3
- Add pySOT backend
- Add meta backend HOT 1
- [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
- 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
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from bbopt.