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## Reference
- 2011 [Sequential Model-Based Optimization for General Algorithm Configuration](https://www.cs.ubc.ca/~hutter/papers/10-TR-SMAC.pdf)
- [SMAC3](https://github.com/automl/SMAC3)
## Br…
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## Reference
- 2011 [Algorithms for Hyper-Parameter Optimization](https://papers.nips.cc/paper/2011/file/86e8f7ab32cfd12577bc2619bc635690-Paper.pdf)
- 2013 [Making a Science of Model Search: Hyperpa…
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Issue discovered and described in detail in this conversation: [https://h2oai.slack.com/archives/C03HXQSLW/p1599200941133900|https://h2oai.slack.com/archives/C03HXQSLW/p1599200941133900]
Examples in …
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/kind feature
In the AutoML and Training summit on 2021-07-16 we had couple of request to support [ASHA](https://arxiv.org/pdf/1810.05934.pdf) in Katib.
This item is also in our ROADMAP 2021.
Let…
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The model is not saved to the Repo and it also does not contain the spec/hyperparameters of the model
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We should add a section about re-running AutoML with a new seed on the same project. Note: must set `keep_cross_validation_predictions = TRUE` if we want to get Stacked Ensembles on the second run th…
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https://github.com/automl/ConfigSpace/blob/671465e2899f7b435fa23970d872c30177014f3e/ConfigSpace/read_and_write/pcs_new.py#L481-L488
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when I attempt to test certain models, I get a failure. It states that I may have unusually large values (which I do not in the test set). The training works fine, then fails on the test with this m…
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When trying to get an ONNX model from AutoML, you need to set configurations in 3 places.
1. AutoML config - **enable_onnx_compatible_models=True**,
2. Get best run output - best_run, onnx_mdl = re…
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https://github.com/automl/ConfigSpace/blob/main/ConfigSpace/configuration.py#L151
This line will lead to an maximum recursion error.