Description Usage Arguments Value

Interesting tuples

1 2 3 4 | ```
ComputeInterestingTuples(acceleration.type = "scalar", dimensions = 1,
divisions = 1, discretizations = 1, seed = 0, range = 1,
pseudo.count = 0.001, reduce.method = "max", ig.thr,
interesting.vars = c(), data, decision)
``` |

`acceleration.type` |
acceleration type ('scalar' for none, 'avx'/'avx2' for use of the AVX/AVX2 instruction set respectively) |

`dimensions` |
number of dimensions |

`divisions` |
number of divisions |

`discretizations` |
number of discretizations |

`seed` |
seed for PRNG used during discretizations |

`range` |
discretization range (from 0.0 to 1.0) |

`pseudo.count` |
pseudo count |

`reduce.method` |
discretization reduce method (either "max" or "mean") |

`ig.thr` |
IG threshold above which the tuple is interesting |

`interesting.vars` |
variables for which to check the IGs (none = all) |

`data` |
input data where columns are variables and rows are observations |

`decision` |
decision variable as a boolean vector of length equal to number of observations |

none (the function prints results)

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