Comments (5)
danielcohenlive
commented on April 29, 2024
1
@jakeBass the previous comment still applies, but #2044 will simplify this for you next release.
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danielcohenlive
commented on April 29, 2024
1
@jakeBass sorry, I thought I responded Friday, but we just released 0.3.6 2 days ago. I'm going to close the issue for now but feel free to reopen or open a new one if you have further questions.
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danielcohenlive
commented on April 29, 2024
Hi @jakeBass I'm working on seeing if we can upgrade, but there are some internal complications. In the meantime, if you run pip install typeguard==4.1.5 after installing ax, the only problem will be a bunch of false warnings in the form of
ax.utils.common.kwargs: `<SOME_CLASS>` expected argument `SOME_ARG` to be of type SOME_CLASS. Got SOME_CLASS(...).
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jakeBass
commented on April 29, 2024
Thanks so much @danielcohenlive, really appreciate the quick response!
Do you know when 0.3.6 will be released? Or is there somewhere I can follow along?
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jakeBass
commented on April 29, 2024
That's wonderful, thanks so much again @danielcohenlive!
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Related Issues (20)
- cannot import name 'TrainingData' HOT 2
- applying complex constrains HOT 2
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- Evaluating custom candidates HOT 2
- Input Feature Selection - Does the relevant code exist? HOT 6
- [Feature Request] support constraints on `ChoiceParameters` HOT 4
- Extending Models.THOMPSON with an extra parameter HOT 1
- There are some questions when i use the Ax HOT 7
- Space characters in the objective name AND specifying a threshold leads to an error message: "AssertionError: Outcome constraint should be of form `metric_name >= x" HOT 1
- Pandas deprecation warning when deserializing AxClient JSON HOT 2
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- Plotting outside of a notebook HOT 1
- Setting search space step size in Ax Service API HOT 10
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- EHVI & NEHVI break with more than 7 objectives HOT 4
- Multi-objective experiments generate duplicated data HOT 5
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