Add black-box cut optimisation tool to extras #1080
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Depends on #1077. |
This commit adds a new black-box optimisation tool written in Python which can be used to find better configuration parameters for seeding and finding algorithms in traccc. The code is split up into a benchmarking tool which explores a design space and finds efficiencies, duplicate rates, fake rates, and throughput numbers. Then, another tool is capable of finding the Pareto set.
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This commit adds a new black-box optimisation tool written in Python which can be used to find better configuration parameters for seeding and finding algorithms in traccc. The code is split up into a benchmarking tool which explores a design space and finds efficiencies, duplicate rates, fake rates, and throughput numbers. Then, another tool is capable of finding the Pareto set.