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Published by github-actions[bot] over 3 years ago
Published by github-actions[bot] over 3 years ago
Goptuna now supports Sobol based sampler. See the paper S. Joe and F. Y. Kuo, Remark on Algorithm 659: Implementing Sobol's quasirandom sequence generator, ACM Trans. Math. Softw. 29, 49-57 (2003). for details.
np.random.rand() (seed=0) |
Sobol (Goptuna) |
---|---|
Usage is like this:
import (
"github.com/c-bata/goptuna"
"github.com/c-bata/goptuna/sobol"
)
func main() {
study, err := goptuna.CreateStudy(
"goptuna-example",
goptuna.StudyOptionRelativeSampler(sobol.NewSampler()), // Set Sobol based sampler.
)
...
}
github.com/c-bata/gorm/rdb.v2
Add rdb.v2
package built on gorm v2.
So github.com/c-bata/goptuna/rdb
package is now deprecated.
Published by github-actions[bot] almost 4 years ago
You can now walk through trials by filtering and sorting.
You can delete a study from dashboard.
Published by github-actions[bot] about 4 years ago
You can download standalone binaries (JavaScript files are also embedded in these binaries) via GitHub release, then you can open Web dashboard like following command.
$ goptuna --version
goptuna version 0.7.0 (rev: e8db5dc)
$ goptuna dashboard --storage sqlite:///example.db --host 127.0.0.1 --port 8000
Goptuna's RDB storage backend is compatible with Optuna. So this CLI is able to visualize Optuna's optimization results.
Published by c-bata about 4 years ago
While I added an example which uses successive halving pruner at #120, I found a lot of issues. I'm sure that nobody uses pruning functionalities (I also confirmed that Kubeflow/Katib and sile/kurobako-go does not use pruning functionalities). So I fixes those issues. And I merge it without backward compatibility.
OptionSetReductionFactor
trial.ShouldPrune()
and remove trial.Report()
.These changes are added with backward compatibilities. Older functions are deprecated.
IntUniformDistribution.ToExternalRepr()
(#102)IntUniformDistributions.Contains()
(#103)Published by c-bata over 4 years ago
In this release, some internal methods made public for Kubeflow/Katib.
New feature
For Developers
Others
Published by c-bata over 4 years ago
From this release, new suggest API SuggestStepInt
for step-interval integer parameter is available.
SuggestUniform
, SuggestLogUniform
and SuggestDiscreteUniform
are deprecated. These APIs are renamed to Suggest...Float
API.
New feature
API changes
Published by c-bata over 4 years ago
This release supports CMA-ES sampler and compatible with the RDB schema of Optuna v1.3.0.
New feature
Internal chages
Bug fixes
Compatibility with Optuna RDB storage
This release has compatibility with Optuna v1.3.0.
Published by c-bata over 4 years ago
This release supports enqueue_trial and has compatibility with the RDB schema of Optuna v1.2.0.
New feature
Bug fixes
Compatibility with Optuna RDB storage
This release has compatibility with Optuna v1.2.0.
Published by c-bata over 4 years ago
This release contains ASHA support, experimental GP-BO support and a serious bug fix of the TPE optimization on DiscreteUniformDistribution.
New feature
RelativeSampler
interface for Gaussian Process and CMA-ES (#75, #76)API changes
ID
suffix from storage.CreateNew{Study,Trial}ID
methods (#53).Bug fixes
For Developers
Compatibility with Optuna RDB storage
This release has the compatibility with Optuna v1.1.0 or lower.
Published by c-bata about 5 years ago
New feature
trial.SuggestXXX
methods (#41)Bug fixes
API changes
FrozenTrial.ParamsInIR
field (#20)Published by c-bata about 5 years ago
New feature
SuggestLogUniform
and SuggestDiscreteUniform
methods in Trial (#23)SetUserAttr
, GetUserAttrs
, SetSystemAttr
and GetSystemAttrs
methods in Trial and Study (#24)GetContext
method in Trial for handling signals (#29)Others
Published by c-bata about 5 years ago
New feature
Internal change
Published by c-bata about 5 years ago
New feature
study.WithContext
(#4)Internal change
For developers
Published by c-bata about 5 years ago
ʕ◔ϖ◔ʔ Initial release 🎉