Syne Tune

Getting Started

  • Installation
  • What Is Hyperparameter Optimization?
  • First Example
  • Supported HPO Methods
  • Security
  • Citing Syne Tune
  • License

Next Steps

  • Frequently Asked Questions
  • Examples

Tutorials

  • Basics of Syne Tune
  • How to Choose a Configuration Space
  • Using the Built-in Schedulers
  • Multi-Fidelity Hyperparameter Optimization
  • How to Contribute a New Scheduler
  • PASHA: Efficient HPO and NAS with Progressive Resource Allocation
  • Using Syne Tune for Transfer Learning

API docs

  • API Reference
    • benchmarking package
    • setup module
    • syne_tune package
      • StoppingCriterion
      • Tuner
      • Reporter
      • Subpackages
        • syne_tune.backend package
        • syne_tune.blackbox_repository package
        • syne_tune.callbacks package
        • syne_tune.experiments package
        • syne_tune.optimizer package
        • syne_tune.utils package
      • Submodules
Syne Tune
  • API Reference
  • syne_tune package
  • syne_tune.optimizer package
  • syne_tune.optimizer.schedulers package
  • syne_tune.optimizer.schedulers.searchers package
  • syne_tune.optimizer.schedulers.searchers.botorch package
  • View page source

syne_tune.optimizer.schedulers.searchers.botorch package

Submodules

  • syne_tune.optimizer.schedulers.searchers.botorch.botorch_searcher module
    • BoTorchSearcher
      • BoTorchSearcher.on_trial_complete()
      • BoTorchSearcher.num_suggestions()
      • BoTorchSearcher.suggest()
      • BoTorchSearcher.evaluation_failed()
      • BoTorchSearcher.cleanup_pending()
      • BoTorchSearcher.dataset_size()
      • BoTorchSearcher.objectives()
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