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.
Version: 0.15.1 Imports: tensorflow (≥ 2.4.0), reticulate, keras, magrittr Suggests: tfdatasets, testthat (≥ 2.1.0), knitr, rmarkdown Published: 2022-09-01 DOI: 10.32614/CRAN.package.tfprobability Author: Tomasz Kalinowski [ctb, cre], Sigrid Keydana [aut], Daniel Falbel [ctb], Kevin Kuo [ctb], RStudio [cph] Maintainer: Tomasz Kalinowski <tomasz.kalinowski at rstudio.com> BugReports: https://github.com/rstudio/tfprobability/issues License: Apache License (≥ 2.0) URL: https://github.com/rstudio/tfprobability NeedsCompilation: no SystemRequirements: TensorFlow Probability (https://www.tensorflow.org/probability) Materials: README NEWS CRAN checks: tfprobability results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=tfprobability to link to this page.
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