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nabenabe0928 committed Jul 18, 2024
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> In this example repository, you can also find the examples for the following scenarios:
> 1. [Objective function with additional arguments](./sklearn/sklearn_additional_args.py), which is useful when you would like to pass arguments besides `trial` to your objective function.
>
> 2. [Manually provide trials with sampler](./enqueue_trial.py), which is useful when you would like to force certain parameters to be sampled.
> 2. [Manually provide trials with sampler](./basic_and_faq_usages/enqueue_trial.py), which is useful when you would like to force certain parameters to be sampled.
>
> 3. [Callback to control the termination criterion of study](./max_trials_callback.py), which is useful when you would like to define your own termination criterion other than `n_trials` or `timeout`.
> 3. [Callback to control the termination criterion of study](./basic_and_faq_usages/max_trials_callback.py), which is useful when you would like to define your own termination criterion other than `n_trials` or `timeout`.
## Examples for Diverse Problem Setups

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<details open>
<summary>Simple Black-box Optimization</summary>

* [Quadratic Function](./quadratic_simple.py)
* [Quadratic Multi-Objective Function](./multi_objective/quadratic_simple.py)
* [Quadratic Function with Constraints](./quadratic_simple_constraint.py)
* [Quadratic Function](./basic_and_faq_usages/quadratic_simple.py)
* [Quadratic Multi-Objective Function](./basic_and_faq_usages/quadratic_simple_multi_objective.py)
* [Quadratic Function with Constraints](./basic_and_faq_usages/quadratic_simple_constraint.py)
</details>

<details open>
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