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Following on from keras-team/keras#18445 have you considered exposing the type information so that you can enumerate:
- _categorical_ All Optimizers, Losses, Layers, Metrics, &etc. available _out-o…
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This param is available in XGBoost. Exposing it would be very helpful for benchmarking and/or debugging. In AutoML, we might want to rename the options, since selecting GPU doesnt mean that all algo…
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As per the title, it will be useful for ASKL2 to have a configurable `portfolio` and `policy selector`.
It's beneficial for research (avoiding 'cheating' through meta-learning in a benchmark) or for …
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The dataset `description.xml` contains some of the most useful meta-data of the dataset. I think the number of instances/rows and the number of features should be added here. Those features generally …
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I currently use NASLib as a backend for defining my own search space for a benchmark. I noticed while sharing my code that the following imports introduce a number of dependencies that are not strictl…
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Not all code is currently covered by unit and/or system tests.
In some cases, this does not matter (e.g. not all ValueError scenarios need to be automatically checked, I think), but for other functio…
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Currently, in AutoML, we exploit the fact that you can pass a list of alphas to the alpha parameter in GLM. This results in a GLM where you can't tell which alpha is used and returns a single GLM wit…
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**System Information (please complete the following information):**
- Model Builder Version: Nightly from last week
- Visual Studio Version: VS 2019
**Describe the bug**
If disk space is too l…
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## official resnet50
* https://forums.developer.nvidia.com/t/jetson-agx-xavier-deep-learning-inference-benchmarks/67844
* https://developer.nvidia.com/embedded/jetson-agx-xavier-dl-inference-benchma…
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We plan to do a new evaluation soon and want to share information about what we have been working on. The new evaluation will be included in a journal paper submission and available through OpenML.
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