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Hey,
I noticed that the GaussianProcess.optimize_hyperparameters() method can move the parameters into regions where the covariance matrix is not invertible. I think this is because of the lack of in…
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Implement automatic hyperparameter tuning (probably using the Optuna optimization framework). This is a core feature of this project yet to be implemented.
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There are several hyperparameters for factorization machines that are crucial to convergence (at least in the tests I've been running) especially in SGD.
- `alpha` the learning rate
- `initMean` and `…
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Often when I want to do hyperparameter optimization I have multiple metrics I would like to optimize for.
I would like some kind of multiobjective hyperparameter optimization that can search for an…
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Hi all, is there any optimal way to perform hyperparameter optimization with a LGBRanker model?? Unfortunately, it is not compatible with the scikit-learn environment. (see issue #5041)
I have a ran…
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I was wondering if there are any examples of how to do hyperparameter optimization with fairseq. My idea was to use tune (https://docs.ray.io/en/latest/tune.html) and wire it into a custom task, which…
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Allow the topics to be of varying sizes
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Most of the methods in brainiak have hyperparameters that need to be tuned.
It would be useful to make hyperparameter optimization easy for practitioners to apply. There have been a few efforts to…
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We should make clear that are not yet another HPO library.
I suggest we should start documenting examples or areas where black-box optimization is applied.