Statements (34)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:software
|
| gptkbp:developedBy |
gptkb:Anyscale
|
| gptkbp:documentation |
https://docs.ray.io/en/latest/tune/index.html
|
| gptkbp:feature |
gptkb:ASHA
gptkb:HyperBand gptkb:Population_Based_Training Bayesian optimization early stopping grid search random search experiment tracking checkpointing scalable search algorithms |
| gptkbp:firstReleased |
2018
|
| https://www.w3.org/2000/01/rdf-schema#label |
Ray Tune
|
| gptkbp:integratesWith |
gptkb:LightGBM
gptkb:TensorFlow gptkb:XGBoost gptkb:Keras gptkb:PyTorch gptkb:scikit-learn |
| gptkbp:license |
gptkb:Apache_License_2.0
|
| gptkbp:openSource |
true
|
| gptkbp:partOf |
right
|
| gptkbp:programmingLanguage |
gptkb:Python
|
| gptkbp:purpose |
hyperparameter tuning
experiment management |
| gptkbp:repository |
https://github.com/ray-project/ray
|
| gptkbp:supports |
gptkb:machine_learning
deep learning distributed computing |
| gptkbp:bfsParent |
gptkb:RLlib
gptkb:Ray_(distributed_computing) |
| gptkbp:bfsLayer |
7
|