MVP: Use and sample configuration space

RomeoV / ml4co-competition

Winner of NeurIPS 2021 student leaderboard. Self-bootstrapping bayesian optimization for SCIP configuration using GNNs.

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MVP: Use and sample configuration space #1

Closed RomeoV closed 3 years ago

RomeoV commented 3 years ago

I think we can parse the parameters.psc file and extract ranges from there. Wrap this into a nice class that has a sampleConfigurations(n) function.