Table Of Contents

• Welcome to scikit-optimize
  • Installation
  • Release History
• Getting started
  • Finding a minimum
• User Guide
  • 1. Acquisition
  • 2. BayesSearchCV, a GridSearchCV compatible estimator
  • 3. Callbacks
  • 4. Optimizer, an ask-and-tell interface
  • 5. skopt’s top level minimization functions
  • 6. Plotting tools
  • 7. Space
  • 8. Utility functions
• Examples
  • Miscellaneous examples
  • Plotting functions
  • Initial sampling functions
• API Reference
  • skopt: module
  • skopt.acquisition: Acquisition
  • skopt.benchmarks: A collection of benchmark problems.
  • skopt.callbacks: Callbacks
  • skopt.learning: Machine learning extensions for model-based optimization.
  • skopt.optimizer: Optimizer
  • skopt.plots: Plotting functions.
  • skopt.utils: Utils functions.
  • skopt.sampler: Samplers
  • skopt.space.space: Space
  • skopt.space.transformers: transformers
• Development
  • Making a Release

next

Welcome to scikit-optimize