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:
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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 months agofrom:01d2e34823. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 18 2024 |
| R-4.5-linux-x86_64 | OK | Nov 18 2024 |
Exports:dmBuildMetricSubspacesdmCalculateDensityValuedmGetContainedInMetricSubspacesdmGetLevelsdmGetMetricSubspacePropertiesdmPlotEvaluateDataSourceParametersdmPlotMetricSubspaceParametersdmPlotMetricSubspacesdmReaddmRemoveMetricSubspacesdmResetdmTrain
Dependencies:backportsbase64enccliconfigglueherejsonlitelatticelifecyclemagrittrMatrixpngprocessxpsR6rappdirsRcppRcppTOMLreticulaterlangrprojrootrstudioapitensorflowtfautographtfrunstidyselectvctrswhiskerwithryaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Build a Metric Subspaces Data Model for a Data Source | ganDataModel-package ganDataModel |
| Build metric subspaces for a level | dmBuildMetricSubspaces |
| Calculate a density value for a data record | dmCalculateDensityValue |
| Get metric subspaces in which a data record is contained | dmGetContainedInMetricSubspaces |
| Get levels for metric subspaces | dmGetLevels |
| Get metric subspace properties for a level | dmGetMetricSubspaceProperties |
| Specify plot parameters for evaluated data source | dmPlotEvaluateDataSourceParameters |
| Specify plot parameters for metric subspaces for a level | dmPlotMetricSubspaceParameters |
| Create an image file for metric subspaces | dmPlotMetricSubspaces |
| Read a data model and generative data | dmRead |
| Remove metric subspaces for a level | dmRemoveMetricSubspaces |
| Reset API | dmReset |
| Train a neural network which approximates density values for a data source | dmTrain |