SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
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SMAC offers a robust and flexible framework for Bayesian Optimization to support users in determining well-performing hyperparameter configurations for their (Machine Learning) algorithms, datasets and applications at hand. The main core consists of Bayesian Optimization in combination with an aggressive racing mechanism to efficiently decide which of two configurations performs better.
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- Last commit
- 28 days ago
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Automl
Publisher of Auto-Sklearn and AutoML Code Generator
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