Package: ganDataModel 1.1.7

Werner Mueller

ganDataModel: Build a Metric Subspaces Data Model for a Data Source

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>.

Authors:Werner Mueller

ganDataModel_1.1.7.tar.gz
ganDataModel_1.1.7.tar.gz(r-4.5-noble)ganDataModel_1.1.7.tar.gz(r-4.4-noble)
ganDataModel.pdf |ganDataModel.html✨
ganDataModel/json (API)

# Install 'ganDataModel' in R:
install.packages('ganDataModel', repos = 'https://cloud.r-project.org')
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 2 scripts 337 downloads 12 exports 30 dependencies

Last updated 8 months agofrom:01d2e34823. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 16 2025
R-4.5-linux-x86_64OKFeb 16 2025

Exports:dmBuildMetricSubspacesdmCalculateDensityValuedmGetContainedInMetricSubspacesdmGetLevelsdmGetMetricSubspacePropertiesdmPlotEvaluateDataSourceParametersdmPlotMetricSubspaceParametersdmPlotMetricSubspacesdmReaddmRemoveMetricSubspacesdmResetdmTrain

Dependencies:backportsbase64enccliconfigglueherejsonlitelatticelifecyclemagrittrMatrixpngprocessxpsR6rappdirsRcppRcppTOMLreticulaterlangrprojrootrstudioapitensorflowtfautographtfrunstidyselectvctrswhiskerwithryaml

Citation

To cite package ‘ganDataModel’ in publications use:

Mueller W (2024). ganDataModel: Build a Metric Subspaces Data Model for a Data Source. R package version 1.1.7, https://CRAN.R-project.org/package=ganDataModel.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {ganDataModel: Build a Metric Subspaces Data Model for a
      Data Source},
    author = {Werner Mueller},
    year = {2024},
    note = {R package version 1.1.7},
    url = {https://CRAN.R-project.org/package=ganDataModel},
  }