tfestimators: Interface to 'TensorFlow' Estimators

Interface to 'TensorFlow' Estimators <>, a high-level API that provides implementations of many different model types including linear models and deep neural networks.

Version: 1.5
Depends: R (≥ 3.1)
Imports: magrittr, progress, reticulate (≥ 1.3.1), rlang, tensorflow (≥ 1.4.2), tfruns (≥ 1.1), tidyselect, utils, purrr, tibble, tidyr
Suggests: ggplot2, modelr (≥ 0.1.1), testthat, knitr
Published: 2018-01-18
Author: JJ Allaire [aut, cre], Yuan Tang [aut], Kevin Ushey [aut], Kevin Kuo [aut], Daniel Falbel [ctb, cph], RStudio [cph, fnd], Google Inc. [cph]
Maintainer: JJ Allaire <jj at>
License: Apache License 2.0
NeedsCompilation: no
SystemRequirements: TensorFlow (
Citation: tfestimators citation info
Materials: README
In views: HighPerformanceComputing, ModelDeployment
CRAN checks: tfestimators results


Reference manual: tfestimators.pdf
Vignettes: Custom Estimators
Dataset API
Estimators Basics
Feature Columns
Input Functions
Parsing Utilities
Run Hooks
TensorBoard Visualization
Using Estimators
Package source: tfestimators_1.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: tfestimators_1.5.tgz, r-oldrel: tfestimators_1.5.tgz
Old sources: tfestimators archive

Reverse dependencies:

Reverse suggests: tensorflow, tfdatasets


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