vaeac_check_save_parameters: Function that gives a warning about disk usage

Description

Function that gives a warning about disk usage

vaeac_check_save_parameters(
  save_data,
  epochs,
  save_every_nth_epoch,
  x_train_size,
  verbose
)

The function does not return anything.

save_data: Logical (default is FALSE). If TRUE, then the data is stored together with the model. Useful if one are to continue to train the model later using vaeac_train_model_continue().
epochs: Positive integer (default is 100). The number of epochs to train the final vaeac model. This includes epochs_initiation_phase, where the default is 2.
save_every_nth_epoch: Positive integer (default is NULL). If provided, then the vaeac model after every save_every_nth_epochth epoch will be saved.
x_train_size: The object size of the x_train object.
verbose: String vector or NULL. Controls verbosity (printout detail level) via one or more of "basic", "progress", "convergence", "shapley" and "vS_details". "basic" (default) displays basic information about the computation and messages about parameters/checks. "progress" displays where in the calculation process the function currently is. "convergence" displays how close the Shapley value estimates are to convergence (only when iterative = TRUE). "shapley" displays intermediate Shapley value estimates and standard deviations (only when iterative = TRUE), and the final estimates. "vS_details" displays information about the v(S) estimates, most relevant for approach %in% c("regression_separate", "regression_surrogate", "vaeac"). NULL means no printout. Any combination can be used, e.g., verbose = c("basic", "vS_details").

Lars Henry Berge Olsen