% 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}

}