ʕ◔ϖ◔ʔ v0.2.0

This release contains ASHA support, experimental GP-BO support and a serious bug fix of the TPE optimization on DiscreteUniformDistribution.

New feature

• Published an integration sampler using go-bayesopt ( https://github.com/c-bata/goptuna-bayesopt ).
• Support an Asynchronous Successive Halving Algorithm (#52, #62)
• Add RelativeSampler interface for Gaussian Process and CMA-ES (#75, #76)
• Add a subcommand to delete study (#56)
• Add a function to delete study (#57)
• Add study option for loading if exists (#61)

API changes

• Remove ID suffix from storage.CreateNew{Study,Trial}ID methods (#53).
• Avoid to update value when set intermediate values (#84)

Bug fixes

• Set a seed number to the inner random sampler of TPE sampler (#66)
• Fix an optimization of DiscreteUniform on TPE sampler (#79)

For Developers

• Use Go v1.13 on GitHub Actions (#59)
• Parse SQLAlchemy engine format using regexp (#67, #68, #69)
• Add kurobako-go benchmark for TPE sampler (#71)

Compatibility with Optuna RDB storage

This release has the compatibility with Optuna v1.1.0 or lower.

ʕ◔ϖ◔ʔ v0.1.0

New feature

• Add logger interface (#46)
• Add validation for trial.SuggestXXX methods (#41)

Bug fixes

• Fix inconsistent state of trials (#50)
• Add transaction for creating trial (#36)
• Fix 'Too many SQL variables' error by separate queries to get all trials (#33)
• Encode attr values to the format which is loadable from Python's json module. (#35)

API changes

• New pruner interface (#47)
• Remove FrozenTrial.ParamsInIR field (#20)

ʕ◔ϖ◔ʔ v0.0.4

New feature

• Support Optuna compatible RDB storage backend (#18)
• Add missing SuggestLogUniform and SuggestDiscreteUniform methods in Trial (#23)
• Provide SetUserAttr, GetUserAttrs, SetSystemAttr and GetSystemAttrs methods in Trial and Study (#24)
• Provide GetContext method in Trial for handling signals (#29)

Others

• Print more detail error logs (#28).

ʕ◔ϖ◔ʔ v0.0.3

New feature

• Add MedianPruner and PercentilePruner which implements median stopping rule of Vizier (Google) (#11)
• Support DiscreteUniformDistribution (#14)
• Support LogUniformDistribution (#16)

Internal change

• Make TPE 30% faster (#9)

ʕ◔ϖ◔ʔ v0.0.2

New feature

• Accept a go's context via study.WithContext (#4)
• Support CategoricalDistribution (#8)

Internal change

• Redesign the distribution interface. (#6)
• Add about 20 methods in storage interface and InMemoryStorage. (#7)

For developers

• Improve test coverages.
• Fix all golint errors.

Initial release: v0.0.1

ʕ◔ϖ◔ʔ Initial release 🎉

• Design components of goptuna
  • Study: optimization based on an objective function
  • Trial: a single execution of the objective function
  • Storage: store the result of each trials
  • Distribution: a representation of the parameter search space
• Sampler
  • Tree of Parzen Estimators (TPE)
  • Random Search
• Distribution
  • UniformDistribution: a uniform distribution in the linear domain
  • IntUniformDistribution: a uniform distribution on integers
• Add original notification system of finished trials.
• Add examples
  • Simple example using TPE
  • Simple example of using Random Search
  • Using notification of each trials
  • Using multiple goroutine workers