JAHSBench #19
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JAHSBench #19
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…rface, modified hpo file to call dtlz suite
Deathn0t
approved these changes
Jul 17, 2023
| [JAHS-Bench-201](https://github.com/automl/jahs_bench_201). | ||
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| JAHSBench implements a random forest surrogate model, trained on real-world |
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JAHS is using XGBoost I think: https://openreview.net/pdf?id=_HLcjaVlqJ
Section 2.3, page 4
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For each benchmark documentation we need to include at least the following sections
## Installation
...
## Configuration
...
## Metadata
...| requires = { | ||
| "py-pip-requirements": { | ||
| "type": "pip", | ||
| "name": "-r " + os.path.join(DIR, "REQUIREMENTS.txt"), |
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using the more standard requirements.txt (lower case format) would be better.
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Added a slightly modified version of JAHS Bench 201 problem. Modifications to original version include:
size_MB)valid-acc=0, ,latency=10,size_MB=100nepochsas a tunable parameterWarning: No support for MacOS
Addresses #6