CuCubes (version 0.1.0)

ComputeMaxInfoGains: Max information gains

Description

Max information gains

Usage

ComputeMaxInfoGains(acceleration.type = "scalar", dimensions = 1, divisions = 1, discretizations = 1, seed = 0, range = 1, pseudo.count = 0.001, reduce.method = "max", data, decision)

Arguments

acceleration.type

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

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")

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

numeric vector with max information gain for each input variable

Examples

  ComputeMaxInfoGains(data = madelon$data, decision = madelon$decision,
    discretizations = 1, range = 0, divisions = 22, dimensions = 1)