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bkleyn avatar bkleyn commented on May 16, 2024

Hey @maypink, thank you for the kind feedback. Remember to ⭐️ the library if you like it.

Based on the information you provided, one option might be to use the predict_expectation() method to store the predicted expectations for each arm at different points in time.

Alternatively, if you don't know exactly what information you need, you could serialize the MAB object by using the Python pickle library and save this for later use.

Hope this helps!

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maypink avatar maypink commented on May 16, 2024

Thank you for reply!

I forgot to clarify that I want to save Contextual bandits, so it's improtant to save the whole object as it is. [predict_expectation()](https://fidelity.github.io/mabwiser/api.html#mabwiser.mab.MAB.predict_expectations) is not enough for me in that case. Also, saving with json is much faster and compact than with pickle, so is it possible that save and load methods will be implemented in mabwiser?

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bkleyn avatar bkleyn commented on May 16, 2024

Hey @maypink

We currently don't have plans to implement dedicated save and load methods. As mentioned in the previous comment using pickle (or similar) to serialize the MAB object itself would be our suggested approach as this ensures all the variables corresponding to the bandit state is captured.

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