% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/help_functions.R
\name{remove_checkpoints}
\alias{remove_checkpoints}
\title{Remove checkpoints}
\usage{
remove_checkpoints(
  cp_dir,
  metric = "acc",
  best_n = 1,
  ask_before_remove = TRUE
)
}
\arguments{
\item{cp_dir}{Directory containing checkpoints.}

\item{metric}{Either \code{"acc"}, \code{"loss"} or \code{"last_ep"}. Condition which checkpoints to keep.}

\item{best_n}{Number of checkpoints to keep.}

\item{ask_before_remove}{Whether to show files to keep before deleting rest.}
}
\value{
None. Deletes certain files.
}
\description{
Remove all but n 'best' checkpoints, based on some condition. Condition can be
accuracy, loss or epoch number.
}
\examples{
\dontshow{if (reticulate::py_module_available("tensorflow")) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
model <- create_model_lstm_cnn(layer_lstm = 8)
checkpoint_folder <- tempfile()
dir.create(checkpoint_folder)
keras::save_model_hdf5(model, file.path(checkpoint_folder, 'Ep.007-val_loss11.07-val_acc0.6.hdf5'))
keras::save_model_hdf5(model, file.path(checkpoint_folder, 'Ep.019-val_loss8.74-val_acc0.7.hdf5'))
keras::save_model_hdf5(model, file.path(checkpoint_folder, 'Ep.025-val_loss0.03-val_acc0.8.hdf5'))
remove_checkpoints(cp_dir = checkpoint_folder, metric = "acc", best_n = 2,
                   ask_before_remove = FALSE)
list.files(checkpoint_folder)
 
\dontshow{\}) # examplesIf}
}