optimise_params: Optimise AFLELO Params

In lazappi/aflelo: Elo models for AFL

Description

Attempt to find an optimal set of AFLELO Params using a genetic algorithm

Usage

optimise_params(matches, start_eval = 2000, end_eval = 2016, n = 100,
  prop_new = 0.1, generations = 10, pred_weight = 0.8, n_cores = 1)

Arguments

matches	data.frame of matches for training and evaluation
start_eval	start season for calculating fitness
end_eval	end season for calculating fitness
n	population size
prop_new	proportion of new individuals added at each generation
generations	number of generations
pred_weight	weight given to prediction accuracy when calculating fitness
n_cores	number of cores to use

Value

list of data.frames describing parameters and fitness, one for each generation

Examples

data("matches")
optimise_params(matches, start_eval = 1997, end_eval = 1998, n = 5,
                generations = 1)

lazappi/aflelo documentation built on May 17, 2019, 7:30 p.m.