Welcome to Optuna’s documentation!

Contents:

• Installation
• Tutorial
  • First Optimization
  • Advanced Configurations
  • Saving/Resuming Study with RDB Backend
  • Distributed Optimization
  • Command-Line Interface
  • User Attributes
  • Pruning Unpromising Trials
  • User-Defined Sampler
• API Reference
  • Distributions
  • Exceptions
  • Integration
  • Logging
  • Pruners
  • Samplers
  • Storages
  • Structs
  • Study
  • Trial
  • Visualization
• FAQ
  • Can I use Optuna with X? (where X is your favorite ML library)
  • How to define objective functions that have own arguments?
  • Can I use Optuna without remote RDB servers?
  • How to suppress log messages of Optuna?
  • How to save machine learning models trained in objective functions?
  • How can I obtain reproducible optimization results?
  • How are exceptions from trials handled?
  • How are NaNs returned by trials handled?
  • What happens when I dynamically alter a search space?
  • How can I use two GPUs for evaluating two trials simultaneously?
  • How can I test my objective functions?

Indices and tables

• Index
• Module Index
• Search Page