Comments (5)
If these other parameters are fixed for all trials, can they be encoded directly in the evaluation_function itself rather than passed as arguments? You could even write a wrapper function which takes the fixed params as inputs and outputs an evaluation_function with them encoded inside.
If by argparse you mean an easy to use CLI, that is something we've discussed supporting and would be interested to know how you're using it with CLI.
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Thanks, the wrapper function worked.
And yes this was for CLI. I'm trying to do Bayesian optimization on a pre-existing library which uses CLI to define the model and I was trying to integrate ax with minimal changes to the existing code.
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That kind of helps but not fully.
I can partially use that to convert an argparse object to a list of fixed parameters, however, there are some types that can't be converted, for example, there isn't a ParameterType for list (which is not being used as a range).
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Ah so not invoking Ax via CLI. Glad this solution worked for you.
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Related Issues (20)
- attach trials HOT 8
- Multi-task BO with Service API HOT 2
- constrains HOT 17
- Question : Generation 12 trials HOT 8
- Question: Multi-Task Multi Objective HOT 1
- MOO not respecting nonlinear constraints HOT 1
- Problem with Fixed parameters if nonlinear_inequality_constraint is imposed
- Safe optimization in the Service API HOT 4
- The same point is evaluated multiple times during Integer Optimization with BO. HOT 5
- ax_client.generation_strategy.trials_as_df HOT 9
- Managing Objective Function Evaluation Failures in Ax for MOO HOT 6
- [GENERAL SUPPORT]: Managing Objective Function Evaluation Failures in Ax for MOO HOT 3
- [GENERAL SUPPORT]: Using qNegIntegratedPosteriorVariance HOT 3
- [GENERAL SUPPORT]: Reference point for multi-objective bayesian optimization HOT 4
- [GENERAL SUPPORT]: Adjusting search space or accommodating out-of-bounds initial data HOT 19
- [GENERAL SUPPORT]: Manual configuration, HOT 1
- [Bug]: Custom metric issue HOT 4
- [GENERAL SUPPORT]: CI_Level Paretofrontier
- [Bug]: Large sample time increase in ax-platform >= version 0.3.5 HOT 6
- [GENERAL SUPPORT]: Reference Point for Multi-Objective Bayesian Optimization HOT 1
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