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Gaussian Process-Based Sampler

Sampler using Gaussian process-based Bayesian optimization.

Class or Function Names

  • GPSampler

Installation

pip install scipy torch

Example

import optuna
from optuna.samplers import GPSampler


def objective(trial):
  x = trial.suggest_float("x", -5, 5)
  return x**2


sampler = GPSampler()
study = optuna.create_study(sampler=sampler)
study.optimize(objective, n_trials=100)

Others

See the documentation for more details.

Package
samplers/gp
Author
Optuna team
License
MIT License
Verified Optuna version
  • 3.6.1
Last update
2024-10-04