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tfruns: Training Run Tools for 'TensorFlow'

Create and manage unique directories for each 'TensorFlow' training run. Provides a unique, time stamped directory for each run along with functions to retrieve the directory of the latest run or latest several runs.

Version: 1.5.3
Depends: R (≥ 3.1)
Imports: utils, jsonlite (≥ 1.2), base64enc, yaml, config, magrittr, whisker, tidyselect, rlang, rstudioapi (≥ 0.7), reticulate
Suggests: testthat, knitr, withr, here, rmarkdown
Published: 2024-04-19
DOI: 10.32614/CRAN.package.tfruns
Author: Tomasz Kalinowski [ctb, cre], Daniel Falbel [ctb], JJ Allaire [aut], RStudio [cph, fnd], Mike Bostock [cph] (D3 library - https://d3js.org/), Masayuki Tanaka [cph] (C3 library - http://c3js.org/), jQuery Foundation [cph] (jQuery library), jQuery contributors [cph] (jQuery library; authors: inst/views/components/jquery-AUTHORS.txt), Shaun Bowe [cph] (jQuery visibilityChanged plugin), Materialize [cph] (Materizlize library - https://materializecss.com/), Yuxi You [cph] (Vue.js library - https://vuejs.org/), Kevin Decker [cph] (jsdiff library - https://github.com/kpdecker/jsdiff/), Rodrigo Fernandes [cph] (diff2html library - https://diff2html.xyz/), Ivan Sagalaev [cph] (highlight.js library - https://highlightjs.org/), Yauheni Pakala [cph] (highlightjs-line-numbers library)
Maintainer: Tomasz Kalinowski <tomasz at rstudio.com>
BugReports: https://github.com/rstudio/tfruns/issues
License: Apache License 2.0
URL: https://github.com/rstudio/tfruns
NeedsCompilation: no
Materials: README NEWS
CRAN checks: tfruns results

Documentation:

Reference manual: tfruns.pdf
Vignettes: Managing Runs
Introduction to tfruns
Hyperparameter Tuning

Downloads:

Package source: tfruns_1.5.3.tar.gz
Windows binaries: r-devel: tfruns_1.5.3.zip, r-release: tfruns_1.5.3.zip, r-oldrel: tfruns_1.5.3.zip
macOS binaries: r-release (arm64): tfruns_1.5.3.tgz, r-oldrel (arm64): tfruns_1.5.3.tgz, r-release (x86_64): tfruns_1.5.3.tgz, r-oldrel (x86_64): tfruns_1.5.3.tgz
Old sources: tfruns archive

Reverse dependencies:

Reverse depends: cloudml
Reverse imports: deepregression, keras, keras3, tensorflow, tfestimators

Linking:

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