M-LOOP 2.1.0

@michaelhush michaelhush released this Oct 13, 2016 · 39 commits to master since this release

M-LOOP now some new options and has a different default behaviour.

  • A differential evolution algorithm has been added. This can now be used on its own or as a trainer for the gaussian process (GP). It is now the default trainer for the GP.
  • Added a shell based interface.
  • Improved the documentation. Added a tutorial for using M-LOOP as a python API and also improved the installation instructions. New features have also been appropriately documented.

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