Syne Tune
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Getting Started
Installation
What Is Hyperparameter Optimization?
First Example
Experimentation with Syne Tune
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
Benchmarking in Syne Tune
Visualization of Results
Rapid Experimentation with Syne Tune
How to Contribute a New Scheduler
How to Implement Bayesian Optimization
PASHA: Efficient HPO and NAS with Progressive Resource Allocation
Using Syne Tune for Transfer Learning
Distributed Hyperparameter Tuning: Finding the Right Model can be Fast and Fun
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.remote package
syne_tune.utils package
Submodules
Syne Tune
API Reference
syne_tune package
syne_tune.utils package
syne_tune.utils.parse_bool module
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syne_tune.utils.parse_bool module
syne_tune.utils.parse_bool.
parse_bool
(
val
)
[source]
Return type
:
bool
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