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gptkbp:instanceOf
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gptkb:software
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gptkbp:category
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gptkb:software
hyperparameter optimization tool
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gptkbp:citation
|
Akiba, Takuya, et al. "Optuna: A Next-generation Hyperparameter Optimization Framework." Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. 2019.
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gptkbp:developer
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gptkb:Preferred_Networks
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gptkbp:documentation
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https://optuna.org
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gptkbp:feature
|
visualization tools
automatic logging
define-by-run API
integration with ML frameworks
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|
https://www.w3.org/2000/01/rdf-schema#label
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Optuna
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gptkbp:integratesWith
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gptkb:Amazon_SageMaker
gptkb:Hydra
gptkb:CatBoost
gptkb:LightGBM
gptkb:TensorFlow
gptkb:XGBoost
gptkb:Chainer
gptkb:Kubeflow
gptkb:Keras
gptkb:AllenNLP
gptkb:Neptune.ai
gptkb:PyTorch
gptkb:Dask
gptkb:scikit-learn
gptkb:Azure_ML
gptkb:Google_Cloud_AI_Platform
gptkb:ONNX
gptkb:MLflow
gptkb:Weights_&_Biases
gptkb:Comet.ml
gptkb:Joblib
gptkb:fastai
right
Sacred
GCP Vertex AI
Optuna Dashboard
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gptkbp:latestReleaseVersion
|
3.5.0
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gptkbp:license
|
gptkb:MIT_License
|
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gptkbp:npmPackage
|
optuna
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gptkbp:programmingLanguage
|
gptkb:Python
gptkb:Julia
R
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|
gptkbp:purpose
|
hyperparameter optimization
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|
gptkbp:releaseDate
|
2018
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gptkbp:repository
|
https://github.com/optuna/optuna
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gptkbp:supports
|
pruning
multi-objective optimization
distributed optimization
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gptkbp:usedFor
|
gptkb:machine_learning
deep learning
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gptkbp:bfsParent
|
gptkb:PyTorch_Lightning
gptkb:PyTorch_Tabular
gptkb:Transformers_library
|
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gptkbp:bfsLayer
|
6
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