Package: tfprobability
Title: Interface to 'TensorFlow Probability'
Version: 0.11.0.0
Authors@R: c(
    person("Sigrid", "Keydana", email = "sigrid@rstudio.com", role = c("aut", "cre")),
    person("Daniel", "Falbel", email = "daniel@rstudio.com", role = c("ctb")),
    person("Kevin", "Kuo", email = "kevin.kuo@rstudio.com", role = c("ctb"),
           comment = c(ORCID = "0000-0001-7803-7901")),
    person(family = "RStudio", role = c("cph"))
    )
Description: Interface to 'TensorFlow Probability', a 'Python' library built on 'TensorFlow'
    that makes it easy to combine probabilistic models and deep learning on modern hardware ('TPU', 'GPU').
    'TensorFlow Probability' includes a wide selection of probability distributions and bijectors, probabilistic layers,
    variational inference, Markov chain Monte Carlo, and optimizers such as Nelder-Mead, BFGS, and SGLD.
License: Apache License (>= 2.0)
URL: https://github.com/rstudio/tfprobability
BugReports: https://github.com/rstudio/tfprobability/issues
SystemRequirements: TensorFlow Probability
        (https://www.tensorflow.org/probability)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: tensorflow (>= 2.2.0), reticulate, keras, magrittr
Suggests: tfdatasets, testthat (>= 2.1.0), knitr, markdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-08-05 18:43:06 UTC; key
Author: Sigrid Keydana [aut, cre],
  Daniel Falbel [ctb],
  Kevin Kuo [ctb] (<https://orcid.org/0000-0001-7803-7901>),
  RStudio [cph]
Maintainer: Sigrid Keydana <sigrid@rstudio.com>
Repository: CRAN
Date/Publication: 2020-08-05 23:10:03 UTC
Built: R 4.1.0; ; 2020-08-05 23:50:00 UTC; windows
