Shuhei Watanabe

pip install error

1

It seems the issue relates to [this post](https://stackoverflow.com/questions/55833509/attributeerror-type-object-callable-has-no-attribute-abc-registry). I could resolve this issue by `pip uninstall typing`. My env: 1. python==3.8.3 2. Ubuntu18.04 ```shell Collecting git+https://github.com/automl/jahs_bench_201.git Cloning https://github.com/automl/jahs_bench_201.git to /tmp/pip-req-build-g73kff40...

### Motivation In the following PR, the author mentioned that it is more convenient if we can install botorch directly from pip: - https://github.com/optuna/optuna/issues/5197 However, the documentation does not explain...

BUG: `np.unique` with `return_inverse` and `axis` specification yields a wrong shape

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### Describe the issue: In NumPy v2.0.0, when I specify `return_inverse=True` and `axis` for a 2d array, `np.unique` will return a wrongly deep-nested array for the inverse. ### Reproduce the...

Unite the argument order of artifact APIs

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## Motivation This PR is to match the argument order of artifact store APIs. Related PR: - https://github.com/optuna/optuna/pull/5529 ## Description of the changes After this PR, the APIs will look:...

Enhance the error message for integration installation

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## Motivation This PR is a followup of this PR: - https://github.com/optuna/optuna-integration/pull/130 ## Description of the changes Enhance the error message for `from optuna.integration import X` and `from optuna.integration.Y import...

Make `WFG` a function

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## Motivation As the hypervolume class looks unnecessary, I replaced it with a function. ## Description of the changes - Replace `WFG` with a function

Add a list of supported storage for artifact store

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## Motivation As it is not clear what storage is supported by artifact store objects, I added the list. ## Description of the changes - Add the list of supported...

Any bugs when using NumPy v2.0.0

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### Expected behavior If you encountered any bugs when using NumPy v2.0.0, the post including discussion, issue, and PR will be linked to here. ### Environment - Optuna version: latest...

### Expected behavior In [the recent tests](https://github.com/optuna/optuna/pull/5492/files), it seems numpy=1.26.4 was used, but it is apparently not the expected behavior as we should use the oldest numpy version. The detail...

### Motivation `TPESampler` significantly slows down for high-dimensional objectives and I checked where the slowdown comes from. According to my check, `_get_internal_repr` in `TPESampler` and `ndtr`-related functions in `_truncnorm.py` were...