fitnessCPP: Fitness Function in C++

In JohnNay/datafsm: Estimating Finite State Machine Models from Data

Description

A generated action vector and state matrix are input and this function returns a numeric vector of the same length as the outcome. evolve_model then computes a fitness score for that potential solution FSM by comparing it to the provided outcome. This is repeated for every FSM in the population and then the probability of selection for the next generation is set to be proportional to the fitness scores. This function is also used in the predict method for the resulting final model that is returned. The function aborts if the user aborts in R, checking every 1000 iterations.

Usage

fitnessCPP(action_vec, state_mat, covariates, period)

Arguments

action_vec	Integer Vector.
state_mat	Integer Matrix.
covariates	Integer Matrix.
period	Integer Vector.

JohnNay/datafsm documentation built on June 9, 2021, 10:32 p.m.