#' Create the CLI arguments to evaluate the `GCAE` training
#'
#' Create the CLI arguments to evaluate the `GCAE` training
#' @inheritParams default_params_doc
#' @return the CLI arguments
#' @examples
#' gcae_setup <- create_test_gcae_setup()
#' args <- create_gcae_evaluate_args(
#' gcae_setup = gcae_setup,
#' metrics = "f1_score_3",
#' epoch = 123
#' )
#' # 'python3' is the path to Python3
#' # 'run_gcae.py' is the path to the GenoCAE Python script
#' full_args <- c("python3", "run_gcae.py", args)
#' cat(full_args)
#' @author Richèl J.C. Bilderbeek
#' @export
create_gcae_evaluate_args <- function(
gcae_setup,
metrics,
epoch
) {
gcaer::check_gcae_setup(gcae_setup)
gcaer::check_metrics(metrics)
gcaer::check_epoch(epoch)
if (gcae_setup$superpops == "") {
stop("To run GCAE's 'evaluate' function, one needs a file with labels")
}
args <- c(
"evaluate",
"--datadir", gcae_setup$datadir,
"--metrics", metrics,
"--data", gcae_setup$data,
"--model_id", gcae_setup$model_id,
"--train_opts_id", gcae_setup$train_opts_id,
"--data_opts_id", gcae_setup$data_opts_id,
"--epoch", epoch,
"--trainedmodeldir", gcae_setup$trainedmodeldir
)
if (gcae_setup$superpops != "") {
args <- c(args, "--superpops", gcae_setup$superpops)
}
if (gcae_setup$pheno_model_id != "") {
args <- c(
args,
"--pheno_model_id", gcae_setup$pheno_model_id
)
}
args
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.