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- Implement (Bayesion) Hyperparameter Optimization for users
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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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### Is this a unique feature?
- [X] I have checked "open" AND "closed" issues and this is not a duplicate
### Is your feature request related to a problem/unavailable functionality? Please describe.…
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**Is your feature request related to a problem? Please describe.**
Many DL models need extensive hyperparameter optimization in order to find the best-performing model. Since the `v0.1` version #142 …
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### ⚠️ Please check that this feature request hasn't been suggested before.
- [X] I searched previous [Ideas in Discussions](https://github.com/OpenAccess-AI-Collective/axolotl/discussions/categories…
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Description: The current training pipeline for GAN models (e.g., CycleGAN, Pix2Pix) relies on a command-line parser (TrainOptions) to handle hyperparameters and options. However, we are now looking …
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# 🚀 Feature Request
I would like to optimize the hyperparameters on a custom environment for PE-TS and other algorithms.
## Motivation
How did you find the optimal hyperparameters for the alg…
ss555 updated
2 years ago
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hi Luca,
So how to set random vectors of hyperparameters?
thanks
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Hello,
I am running hyper-parameter optimization with the command below:
bench.optimize_hyperparams(df_train=df_train, epochs=50, max_evals=30, splitter='maxmin',
best_m…