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### What happened + What you expected to happen
I am running the notebook in Kaggle.
!pip install -U "ray[tune]"
```python
from ray import train, tune
def objective(config):
project = …
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Any Clear Tutorial on How to Use Custom Dataset and What are the Guidelines/HyperParameter tuning?
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I'm not sure how to handle BiFPN here. Hyperparameter tuning is required.
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First off, I just want to say thank you for your amazing work on this repository! I've been learning a lot from it.
I’ve noticed that no matter which method of adversarial training I use, the clean…
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First of all, thank you for the fantastic work on the sktime library! I am using the StackingForecaster in combination with ForecastingGridSearchCV for hyperparameter tuning. However, I'm unsure which…
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### Checks
- [X] This template is only for question, not feature requests or bug reports.
- [X] I have thoroughly reviewed the project documentation and read the related paper(s).
- [X] I have search…
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**Is your feature request related to a problem? Please describe.**
The idea very clear and helpfull but problem is that I coudn't get high value as much as yours like it shows me 95 accuracy but I g…
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**Is your feature request related to a problem? Please describe.**
Training and fine-tuning models often involve significant manual work, especially when experimenting with different hyperparameters …
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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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### Description
Scikit offers a gridsearch, where a large number of candidates (parameter configurations) is first trained on a very small batch of the training data. With each step the most promisin…