Package: ganGenerativeData 2.1.3
Werner Mueller
ganGenerativeData: Generate Generative Data for a Data Source
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. During iterative training the distribution of generated data is converging to that of the data source. Direct applications of generative data are the created functions for data evaluation and missing data completion. A software service for accelerated training of generative models on graphics processing units is available. Reference: Goodfellow et al. (2014) <doi:10.48550/arXiv.1406.2661>.
Authors:
ganGenerativeData_2.1.3.tar.gz
ganGenerativeData_2.1.3.tar.gz(r-4.5-noble)ganGenerativeData_2.1.3.tar.gz(r-4.4-noble)
ganGenerativeData.pdf |ganGenerativeData.html✨
ganGenerativeData/json (API)
| # Install 'ganGenerativeData' in R: |
| install.packages('ganGenerativeData', 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 2 months agofrom:f27909eb98. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 07 2024 |
| R-4.5-linux-x86_64 | OK | Nov 07 2024 |
Exports:dsActivateColumnsdsCreateWithDataFramedsDeactivateColumnsdsGetActiveColumnNamesdsGetInactiveColumnNamesdsGetNumberOfRowsdsGetRowdsReaddsWritegdCalculateDensityValuegdCalculateDensityValuesgdCompletegdDensityValueInverseQuantilegdDensityValueQuantilegdGenerategdGenerateParametersgdGetNumberOfRowsgdGetRowgdKNearestNeighborsgdPlotDataSourceParametersgdPlotParametersgdPlotProjectiongdReadgdServiceDeletegdServiceGetGenerativeDatagdServiceGetGenerativeModelgdServiceGetStatusgdServiceTraingdTraingdTrainParametersgdWriteSubset
Dependencies:askpassbackportsbase64enccliconfigcurlglueherehttrjsonlitelatticelifecyclemagrittrMatrixmimeopensslpngprocessxpsR6rappdirsRcppRcppTOMLreticulaterlangrprojrootrstudioapisystensorflowtfautographtfrunstidyselectvctrswhiskerwithryaml
