Description Usage Arguments Value Examples
Attempt to find an optimal set of AFLELO Params using a genetic algorithm
1 2 | optimise_params(matches, start_eval = 2000, end_eval = 2016, n = 100,
prop_new = 0.1, generations = 10, pred_weight = 0.8, n_cores = 1)
|
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 |
list of data.frames describing parameters and fitness, one for each generation
1 2 3 | data("matches")
optimise_params(matches, start_eval = 1997, end_eval = 1998, n = 5,
generations = 1)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.