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tfestimators: Interface to 'TensorFlow' Estimators

Interface to 'TensorFlow' Estimators <https://www.tensorflow.org/guide/estimator>, a high-level API that provides implementations of many different model types including linear models and deep neural networks.

Version: 1.9.2
Depends: R (≥ 3.1)
Imports: forge, magrittr, progress, reticulate (≥ 1.10), rlang (≥ 0.3), tensorflow (≥ 1.9), tfruns (≥ 1.1), tidyselect, utils, purrr, tibble, tidyr
Suggests: ggplot2, modelr (≥ 0.1.1), testthat, rmarkdown, knitr
Published: 2021-08-09
DOI: 10.32614/CRAN.package.tfestimators
Author: JJ Allaire [aut], Yuan Tang ORCID iD [aut], Kevin Ushey [aut], Kevin Kuo ORCID iD [aut], Tomasz Kalinowski [cre], Daniel Falbel [ctb, cph], RStudio [cph, fnd], Google Inc. [cph]
Maintainer: Tomasz Kalinowski <tomasz.kalinowski at rstudio.com>
BugReports: https://github.com/rstudio/tfestimators/issues
License: Apache License 2.0
URL: https://github.com/rstudio/tfestimators
NeedsCompilation: no
SystemRequirements: TensorFlow (https://www.tensorflow.org/)
Citation: tfestimators citation info
Materials: README NEWS
In views: HighPerformanceComputing, ModelDeployment
CRAN checks: tfestimators results

Documentation:

Reference manual: tfestimators.pdf
Vignettes: Custom Estimators
Dataset API
Estimators Basics
Feature Columns
Input Functions
Parsing Utilities
Run Hooks
TensorBoard Visualization
Using Estimators

Downloads:

Package source: tfestimators_1.9.2.tar.gz
Windows binaries: r-devel: tfestimators_1.9.2.zip, r-release: tfestimators_1.9.2.zip, r-oldrel: tfestimators_1.9.2.zip
macOS binaries: r-release (arm64): tfestimators_1.9.2.tgz, r-oldrel (arm64): tfestimators_1.9.2.tgz, r-release (x86_64): tfestimators_1.9.2.tgz, r-oldrel (x86_64): tfestimators_1.9.2.tgz
Old sources: tfestimators archive

Reverse dependencies:

Reverse suggests: tfdatasets, tfhub

Linking:

Please use the canonical form https://CRAN.R-project.org/package=tfestimators to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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