where optimizers go to die a little
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Connor Olding 928cad2510
fix copypaste issue
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thursday fix copypaste issue 2 weeks ago
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README.md note numpy version 4 weeks ago

README.md

thursday

what comes after humpday?

note: i have a personal bias against bayesian optimizers. these results may not represent them fairly (or at all).

usage

python3 -m thursday

prerequisites

  • Python 3.10 or greater
  • numpy 1.23
  • TODO

structure

  • thursday/candidates contains wrappers around optimizers to minimize objective functions on the unit cube
  • thursday/external contains code written by other authors (note their licenses!)
  • thursday/internal contains original implementations of general-purpose optimizers
  • thursday/solutions is responsible for generating thursday/go_benchmark_lists.py
  • thursday/utilities contains no surprises
  • thursday/ contains everything else (for now)