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Could you please share hyperparameter sets that were considered and tried during Graph Layout experiment for each of the SST?
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The hyperparameter values for SVC were obtained by performing GridSearchCV on the training set.
The code snippets given below can be used to validate the findings:
For Training SVM - with Data …
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Hi,
Thank you for sharing your work! I have a few questions regarding the grid search in the VTAB-1k benchmark and would greatly appreciate it if you could provide more details:
1. Did you use a…
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I wonder if this is allowed. We would still specify the algorithms and features allowed, obviously, but might use AutoML to automatically pick hyperparameters and ensemble methods together.
It seem…
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Hi,
I am currently trying to run the code in the script for cora and citeseer. During the replication process, I have identified that the code lacks information regarding the hyperparameters relate…
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My suggestions for 1.0 of the package, specifically for learning:
NB: if ticked, it means either it is complete or there is a good reason (which is provided) why this cannot go in for 1.0
- [x] …
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar bug report.
### Ultralytics YOLO Component
Hype…
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# Description
## Bug
If the score computation associated to a trial of hyperparameter tuning takes too long, the patience of `BayesOptSearch` saturates because of duplicated configurations.
Thi…
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**Describe the solution you'd like**
Thanks for providing the [optimal hyperparameters and tuning ranges](https://recbole.io/hyperparameters/index.html) for the RecBole models. However, I didn't find…
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I noticed that the method in the paper relies heavily on hyperparameter tuning. However, since the target domain lacks labels, tuning ultimately relies on validation set performance for optimal result…