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Merge pull request #51 from optuna/partial-fixed-sampler
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Add built-in `PartialFixedSampler`
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y0z authored May 24, 2024
2 parents 2beb27b + c99bbe0 commit 2e225df
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21 changes: 21 additions & 0 deletions package/samplers/partial_fixed/LICENSE
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MIT License

Copyright (c) 2024 Preferred Networks, Inc.

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
35 changes: 35 additions & 0 deletions package/samplers/partial_fixed/README.md
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---
author: 'Optuna team'
title: 'Partial Fixed Sampler'
description: 'Sampler with partially fixed parameters.'
tags: ['sampler', 'built-in']
optuna_versions: ['3.6.1']
license: 'MIT License'
---

## Class or Function Names
- PartialFixedSampler

## Example
```python
import optuna
import optunahub


def objective(trial):
x = trial.suggest_float("x", -1, 1)
y = trial.suggest_int("y", -1, 1)
return x**2 + y


tpe_sampler = optuna.samplers.TPESampler()
fixed_params = {"y": 0}
mod = optunahub.load_module("samplers/partial_fixed")
partial_sampler = mod.PartialFixedSampler(fixed_params, tpe_sampler)

study = optuna.create_study(sampler=partial_sampler)
study.optimize(objective, n_trials=10)
```

## Others
See the [documentation](https://optuna.readthedocs.io/en/stable/reference/samplers/generated/optuna.samplers.PartialFixedSampler.html) for more details.
4 changes: 4 additions & 0 deletions package/samplers/partial_fixed/__init__.py
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from optuna.samplers import PartialFixedSampler


__all__ = ["PartialFixedSampler"]

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