clean_runs: Clean run directories

In tfruns: Training Run Tools for 'TensorFlow'

Clean run directories

Description

Remove run directories from the filesystem.

Usage

clean_runs(
  runs = ls_runs(runs_dir = runs_dir),
  runs_dir = getOption("tfruns.runs_dir", "runs"),
  confirm = interactive()
)

purge_runs(
  runs_dir = getOption("tfruns.runs_dir", "runs"),
  confirm = interactive()
)

Arguments

runs	Runs to clean. Can be specified as a data frame (as returned by ls_runs()) or as a character vector of run directories.
runs_dir	Directory containing runs. Defaults to "runs" beneath the current working directory (or to the value of the tfruns.runs_dir R option if specified).
confirm	TRUE to confirm before performing operation

Details

The clean_runs() function moves the specified runs (by default, all runs) into an "archive" subdirectory of the "runs" directory.

The purge_runs() function permanently deletes the "archive" subdirectory.

See Also

Other run management: copy_run()

Examples

## Not run: 
clean_runs(ls_runs(completed == FALSE))

## End(Not run)

tfruns documentation built on Sept. 6, 2022, 1:07 a.m.