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Hello, I am preparing a research paper, and I've come across a somewhat tricky issue.
During hyperparameter optimization, I've identified four hyperparameters: min_topic_size, nr_topics, min_cluste…
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It allows doing hyperparameter optimization via, for example, grid search.
http://scikit-learn.org/stable/index.html
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Does H2O(-3) library able to do meta-learning (the hyperparameter optimization)?
- via e.g. Random Search?
- with non-H2O classifiers (i.e. classifiers, e.g. kNN, C4.5, AdaBoostM1, S…
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Would it be possible to clarify which hyperparameter settings (including choice of hardware) led to the reported 90.25% Multi-head GRU accuracy on sequential CIFAR reported in Table 2? (https://arxiv.…
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Prompt2Model currently has a static way of defining batch size. The user has to tweak it into the code to either train models faster. Also referencing this issue #315, the batch size is also a hyper-p…
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**System configuration:**
- Win 10
- Python 3.6.4
- Fasttext is built from source directly from the `master` branch with the HEAD at commit [`02c61efaa6d60d6bb17e6341b790fa199dfb8c83`](https…
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I'd like to make a couple more changes to kriging
### 1. Noise variance hyperparameter
This would allow modeling and optimization of noisy functions. I would probably add this as a field to the …
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During model fitting using LBFGS algorithm the optimization failed and the method fall back Newton is used.
`'Optimization terminated abnormally. Falling back to Newton.'`
Two main issues:
- Newt…
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Hi, all! Very excited to see that Amazon launches the Auto-GLuon algorithms. I am doing a tabular data prediction project, and I tried two different code: The first is without setting parameters: pre…
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### Search before asking
- [X] I have searched the YOLOv5 [issues](https://github.com/ultralytics/yolov5/issues) and [discussions](https://github.com/ultralytics/yolov5/discussions) and found no simi…