ComputeInterestingTuples: Interesting tuples

In CuCubes: MultiDimensional Feature Selection (MDFS)

Description

Interesting tuples

Usage

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)

Arguments

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

Value

none (the function prints results)

CuCubes documentation built on May 30, 2017, 1:36 a.m.