Include Optuna integration badge in README.rst#711
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vfdev-5 merged 2 commits intopytorch:masterfrom Jan 22, 2020
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Hi! Optuna (optuna.org) is a new hyperparameter optimization library, and we’ve written an Optuna integration module for PyTorch Ignite to make it easy to search for good hyperparameter settings and prune unpromising trials. We’re looking for ways to let PyTorch Ignite users know this is available and thought a badge to show Optuna integration is available would be helpful. Here’s some documentation on pruning integrations: https://optuna.readthedocs.io/en/latest/tutorial/pruning.html If there are other ways you would recommend reaching out to PyTorch Ignite users to let them know about Optuna, please let us know. Thanks!
Collaborator
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Hi @Crissman, thanks for the PR. Actually, we have already mentioned Optuna in They use Ignite. But ok for the badge. PS. Could you also star the project to let Optuna users know that it is integrated :) |
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Starred! Thanks. |
vfdev-5
approved these changes
Jan 22, 2020
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Hi!
Optuna (optuna.org) is a new hyperparameter optimization library, and we’ve written an Optuna integration module for PyTorch Ignite to make it easy to search for good hyperparameter settings and prune unpromising trials. We’re looking for ways to let PyTorch Ignite users know this is available and thought a badge to show Optuna integration is available would be helpful.
Here’s our example of using the pruning integration with PyTorch Ignite: https://github.com/optuna/optuna/blob/master/examples/pytorch_ignite_simple.py
If there are other ways you would recommend reaching out to PyTorch Ignite users to let them know about Optuna, please let us know.
Thanks!
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