Comments (4)
Now that you are able to plot the outcomes, do the results look like they make more sense, @glenn-jocher?
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@lena-kashtelyan ah, unfortunately the plotting problem #83 persists (it seems to not be numpy related, which was solved in #82). You can reproduce the plotting problem directly by running the tutorial notebook, which I have in a Google Colab:
https://colab.research.google.com/drive/1P6TvA9UZDtLf9dMFTcYWm_RUBW0wpsiV#scrollTo=DMsfBROgGSBK
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@glenn-jocher, let's wait until we have the plots of this? I think it's just fine that the results are different, since optimization is stochastic and there is likely more than one optimal hyperparameter setting in your setup.
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@lena-kashtelyan yes, sure I agree. Hyperparameter tuning will always be a bit mystifying I'm afraid, at least for the foreseeable future.
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Related Issues (20)
- "Hyperparameter Optimization via Raytune" link in website is broken. HOT 2
- Using `evaluate_acquisition_function` on `AxClient` causes subsequent optimziation errors HOT 2
- Question : modifications of compute_posterior_pareto_frontier HOT 2
- Tracking of auxiliary metrics HOT 2
- `qMaxValueEntropy` doesn't seem to work with `ObjectiveProperties(minimize=True)` HOT 4
- when should we end the Bandit Optimization HOT 4
- Nontrivial parameter constraints HOT 2
- 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 3
- 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
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