Optuna: A Define by Run Hyperparameter Optimization Framework | SciPy 2019 |
In this talk, we introduce Optuna, a next-generation hyperparameter optimization framework with new design-criteria: (1) define-by-run API that allows users to concisely construct dynamic, nested, or conditional search spaces, (2) efficient implementation of both sampling and early stopping strategies, and (3) easy-to-setup, versatile architecture that can be deployed for various purposes, ranging from scalable distributed computing to lightweight experiment conducted in a local laptop machine. Our software is available under the MIT license (https://github.com/pfnet/optuna/)
See the full SciPy 2019 playlist at https://www.youtube.com/playlist?list=PLYx7XA2nY5GcDQblpQ_M1V3PQPoLWiDAC
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Видео Optuna: A Define by Run Hyperparameter Optimization Framework | SciPy 2019 | канала Enthought
See the full SciPy 2019 playlist at https://www.youtube.com/playlist?list=PLYx7XA2nY5GcDQblpQ_M1V3PQPoLWiDAC
Connect with us!
*****************
https://twitter.com/enthought
https://www.facebook.com/Enthought/
https://www.linkedin.com/company/enthought
Видео Optuna: A Define by Run Hyperparameter Optimization Framework | SciPy 2019 | канала Enthought
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