Optuna
v1.2.0

Contents:

  • Installation
  • Tutorial
  • API Reference
  • FAQ
Optuna
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  • Welcome to Optuna’s documentation!
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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
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