--- a
+++ b/man/remove_checkpoints.Rd
@@ -0,0 +1,43 @@
+% 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}
+}