LkbGBMLPittsBurgh {FKBL} | R Documentation |
This is the implementation of Pittsburgh genetic method. This is a genetic algorithm, where each rule is a set of rules. This algorithm is as the Hybrid algorithm, but PittsBurgh does not use the Michigan algorithm as a mutation operation. Described in chapter 5, pages 117-122 at Ishibuchi et al.\
LkbGBMLPittsBurgh(P, gene=50, cross=0.9, muta=0.8, train)
Takes the vector of partitions, the number of generations, the crossing and mutation probability in PittsBurgh method and the train data.
P |
The vector of partitions. |
gene |
The number of generations. |
cross |
The cross probability up to 1. |
muta |
The mutation probability up to 1. |
train |
The train dataset. |
Returns a knowledge base with the partitions and the rules.
begin{itemize}
data(P) data(trainA) LkbGBMLPittsBurgh(P,1000,0.9,0.8,trainA)