HPOBench is a collection of hyperparameter optimization benchmarks.
In this repository, we provide the code to use the MLP tabular benchmark newly added in the paper HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO
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- Clone this repository:
$ git clone https://github.com/nabenabe0928/easy-hpo-bench.git
- Install the requirements
$ pip install -r requirements.txt
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Download the dataset from the following URLs:
- MLP (372MB)
- XGBoost (258MB)
- Random Forest (406MB)
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Test by the following command:
python example.py