Package: ganGenerativeData
Type: Package
Title: Generate Generative Data for a Data Source
Version: 1.5.7
Date: 2024-02-18
Author: Werner Mueller
Maintainer: Werner Mueller <werner.mueller5@chello.at>
Description: Generative Adversarial Networks are applied to generate generative data for a data source. A generative model consisting of a generator and a discriminator network is trained. In iterated training steps the distribution of generated data is converging to that of the data source. Direct applications of generative data are the created functions for data classifying and missing data completion. Reference: Goodfellow et al. (2014) <arXiv:1406.2661v1>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.3), tensorflow (>= 2.0.0)
LinkingTo: Rcpp
RoxygenNote: 7.2.3
SystemRequirements: TensorFlow (https://www.tensorflow.org)
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2024-02-18 16:48:45 UTC; r
Repository: CRAN
Date/Publication: 2024-02-18 18:10:02 UTC
Built: R 4.2.3; x86_64-w64-mingw32; 2024-04-24 02:11:11 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
