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Code and experimental data for the paper:

A. Cropper and S. Tourret. Derivation reduction of metarules in meta-interpretive learning. ILP 2018.

data are in the folder 'data' learned programs are in the folder 'programs' results of the tests are in the folder 'results'

  • To reproduce the results in figure 4, run 'python'
  • To rerun the testing step, run 'bash'
  • To rerun the learning step, run 'bash'
  • To generate new data, run 'bash'

Through combinations of the above you can reproduce the experimental results with either the same data or new data.

Note that when running the tests, if Metagol fails to learn a program then the classification decision is random, so the exact results may fluctuate slightly.