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optuna

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optuna/optuna

A hyperparameter optimization framework

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Python MITCreated Feb 21, 2018

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Overview

A hyperparameter optimization framework

Capability facts

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Jul 11, 2026

Languages
python

Source: github.language+pyproject.toml · Jul 11, 2026

Categories

Model Training

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 11, 2026)

Optuna is available at [the Python Package Index](https://pypi.org/project/optuna/) and on [Anaconda Cloud](https:/
Source link

Tags

distributedmachine-learningpythonparallelhyperparameter-optimization

README

Installation

Optuna is available at the Python Package Index and on Anaconda Cloud.


---

# Install AutoSampler dependencies (CPU only is sufficient for PyTorch)
$ pip install cmaes scipy torch --extra-index-url https://download.pytorch.org/whl/cpu

You can load registered module with optunahub.load_module.

import optuna
import optunahub


def objective(trial: optuna.Trial) -> float:
    x = trial.suggest_float("x", -5, 5)
    y = trial.suggest_float("y", -5, 5)
    return x**2 + y**2


module = optunahub.load_module(package="samplers/auto_sampler")

---

## License

MIT License (see [LICENSE](./LICENSE)).

Optuna uses the codes from SciPy and fdlibm projects (see [LICENSE_THIRD_PARTY](./LICENSE_THIRD_PARTY)).