Comments (5)
Using the ParameterConstraint class,
ParameterConstraint(constraint_dict={"x": 1, "y": -1}, bound=1)
Will work. Constraints of this form cannot currently be parsed from strings expressions.
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Correct, I'm using the Loop API currently. Thanks for the response!
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@dqii, this functionality is now available on master
, check latest version for installation instructions. This will also be included in the next stable version when it comes out.
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@dqii, it seems that you are using the Service or Loop APIs? For those, only addition is supported at the moment, but I will flag this as something we need to add. To use the answer Jacob provided above, you would need to use the Developer API.
Also, one solution could be simply changing your problem setup such that you convert y to -y in your evaluation procedure –– that might be the fastest way to get your constraint working for now.
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This functionality is now part of the latest stable version, 0.1.8!
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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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