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Requirements that differ from base requirements:

  • python 3.6.5
  • joblib==0.9.4
  • numpy==1.18.5

Running these examples requires first generating the data, updating the main launch script to point to that generated data, and then launching the SMAC experiments.

This can be done by first running

python examples/smac/generate_{ant|cheetah}_data.py

which runs PEARL to generate multi-task data. This script will generate a directory and file of the form

LOCAL_LOG_DIR/<experiment_prefix>/<foldername>/extra_snapshot_itrXYZ.cpkl

You can then update the examples/smac/{ant|cheetah}.py file, where it says TODO: update to point to correct file to point to this file. Finally, run the SMAC script

python examples/smac/{ant|cheetah}.py