Comments (3)
Balandat
commented on April 20, 2024
Seems like this is not the only thing that's broken (tutorials, version selector are as well).
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kkashin
commented on April 20, 2024
We're aware of the issue - we had a bug with website deployment. This will be fixed today. Sorry about that!
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kkashin
commented on April 20, 2024
Site has been restored -- apologies for that.
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Related Issues (20)
- Can't control arguments in fit_gpytorch_mll under the hood. Getting ABNORMAL_TERMINATION_IN_LNSRCH warning HOT 1
- Different Errors when initializing my loop with Service API and Developer API HOT 7
- `_random_seed` not retained when using `ax_client.save_to_json_file()` and `AxClient.load_from_json_file()` HOT 2
- Question: SEBO optimization with parameter dependency | logistic parameter constrains HOT 4
- Tutorial Request: Deploying Runners on Clusters, Debugging Runners/Schedulers HOT 4
- Issue with tolerance for floating point and its relevance when using log_scale = True HOT 7
- Question: does Ax support working with Tensorflow models? HOT 2
- Feature Request: Conditional Parameter Constraints HOT 5
- Questions about define how to evaluate HOT 3
- get_countour_plot() not plotting all trials HOT 4
- Error: A list of 'ChoiceParameter' is not iterable HOT 4
- [Bug] Generation Strategy equality check error without call to repr HOT 1
- ax.dev, GitHub readme, and loop tutorial examples are ignoring `minimize` kwarg HOT 2
- Get Started code gives the same result regardless of random seed HOT 3
- Trouble with searching documentation (Algolia, API docs, etc.), for example `get_next_trials` HOT 1
- Issue when starting an AxClient with out-of-design points HOT 2
- cannot import name 'TrainingData' HOT 2
- applying complex constrains HOT 2
- Ax is not not starting as many workers as I'd like to; sometimes, get_next_trials returns 0 new trials HOT 3
- Evaluating custom candidates HOT 2
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