CNF_ILP_weak: Compute DNF CPLEX weak pos

In bhklab/RLOBICO: Fast Logical Models Implemented with IBM CPLEX

Description

A function that excecutes some part of a logical model that I don't know about

Usage

CNF_ILP_weak(X, Y, W, K, M, lambda, sens, spec, addcons)

Arguments

X	An N x P binary matrix with N samples characterized by P binary features
Y	An N x 1 binary vector, which is the binarized version of the continuous output variable
W	An N x 1 continuous vector with weights for each of the N samples
K	The number of disjunctive terms
M	The maximum number of selected features per disjunctive term
lambda	The regularizer of penalty for model complexity
sens	The constraints on minimum sensitivity
spec	The constraints on minimum specificity
addcons	Some additional constraints

Value

Whate ver this function returns

bhklab/RLOBICO documentation built on Nov. 4, 2019, 7:16 a.m.