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### What is the expected enhancement?
Currently unit test in [TestQSVR](https://github.com/Qiskit/qiskit-machine-learning/blob/main/test/algorithms/regressors/test_qsvr.py) are based on the classific…
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I found that the default hyperparameters in your repository are not consistent with what are described in the paper.
Specifically, the crop size and the number of epoch in your repository are set to …
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https://www.pytorchlightning.ai/blog/using-optuna-to-optimize-pytorch-lightning-hyperparameters
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Dear author, I apologize for disturbing you, but I sincerely believe that this is a great piece of work. However, I am not getting the desired results on the iu_xray dataset, and I feel that it might …
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hello,
i'm confused about how to make sure that all the hyperparameters of my kernel are being learned.
in particular i would like to use a matern 5/2 kernel specified by `D+1` parameters (`D` l…
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I'm trying to replicate your results on multi GPUs. I'm using the default hyperparameters in your paper, but can't achieve the accuracy that you report(low of about 10%). Should I change some hyperpar…
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Unfortunately I can't replicate the performances stated in the original paper, probably because of the hyperparameters, in fact I don't have enough computational power to execute a hyperparameters sea…
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Hi, thank you for the great work.
May I ask how you achieved image segmentation using quadtrees? When I tried to reproduce the code, I found that the conventional implementation method of quadtree …
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**Is your feature request related to a problem? Please describe.**
Recently I saw a review of this library where the user suggested that we should include hyperparameter tuning. I do realize it will …
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Has anyone been able to successfully fine tune this model at all and, say, from Xception only pretrained on ImageNet?
After three weeks of tweaking and exploring, a good dozen of different loss fun…