Package: ganDataModel
Type: Package
Title: Build a Metric Subspaces Data Model for a Data Source
Version: 1.1.7
Date: 2024-07-21
Author: Werner Mueller
Maintainer: Werner Mueller <werner.mueller5@chello.at>
Description: Neural networks are applied to create a density value function which approximates density values for a data source. The trained neural network is analyzed for different levels. For each level metric subspaces with density values above a level are determined. The obtained set of metric subspaces and the trained neural network are assembled into a data model. A prerequisite is the definition of a data source, the generation of generative data and the calculation of density values. These tasks are executed using package 'ganGenerativeData' <https://cran.r-project.org/package=ganGenerativeData>.
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: 2024-07-21 18:56:20 UTC; r
Repository: CRAN
Date/Publication: 2024-07-21 19:10:02 UTC
Built: R 4.3.3; x86_64-apple-darwin20; 2024-07-22 01:16:40 UTC; unix
Archs: ganDataModel.so.dSYM
