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.bayesopt package
  • syne_tune.optimizer.schedulers.searchers.bayesopt.datatypes package
  • View page source

syne_tune.optimizer.schedulers.searchers.bayesopt.datatypes package

Submodules

  • syne_tune.optimizer.schedulers.searchers.bayesopt.datatypes.common module
    • dictionarize_objective()
    • TrialEvaluations
      • TrialEvaluations.trial_id
      • TrialEvaluations.metrics
      • TrialEvaluations.num_cases()
    • PendingEvaluation
      • PendingEvaluation.trial_id
      • PendingEvaluation.resource
    • FantasizedPendingEvaluation
      • FantasizedPendingEvaluation.fantasies
  • syne_tune.optimizer.schedulers.searchers.bayesopt.datatypes.config_ext module
    • ExtendedConfiguration
      • ExtendedConfiguration.get()
      • ExtendedConfiguration.remove_resource()
      • ExtendedConfiguration.split()
      • ExtendedConfiguration.get_resource()
  • syne_tune.optimizer.schedulers.searchers.bayesopt.datatypes.tuning_job_state module
    • TuningJobState
      • TuningJobState.empty_state()
      • TuningJobState.metrics_for_trial()
      • TuningJobState.num_observed_cases()
      • TuningJobState.observed_data_for_metric()
      • TuningJobState.is_pending()
      • TuningJobState.is_labeled()
      • TuningJobState.append_pending()
      • TuningJobState.remove_pending()
      • TuningJobState.pending_configurations()
      • TuningJobState.all_configurations()
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