Package: ganGenerativeData 2.1.4

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, missing data completion and data classification. 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:Werner Mueller [aut, cre]

ganGenerativeData_2.1.4.tar.gz
ganGenerativeData_2.1.4.tar.gz(r-4.5-noble)ganGenerativeData_2.1.4.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'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

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

cpp

1.95 score 1 stars 5 scripts 353 downloads 33 exports 36 dependencies

Last updated 11 days agofrom:3daa0a4de0. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 12 2024
R-4.5-linux-x86_64OKDec 12 2024

Exports:dsActivateColumnsdsCalculateDensityValuesdsCreateWithDataFramedsDeactivateColumnsdsDensityValueInverseQuantiledsGetActiveColumnNamesdsGetInactiveColumnNamesdsGetNumberOfRowsdsGetRowdsReaddsWritegdCalculateDensityValuegdCalculateDensityValuesgdCompletegdDensityValueInverseQuantilegdDensityValueQuantilegdGenerategdGenerateParametersgdGetNumberOfRowsgdGetRowgdKNearestNeighborsgdPlotDataSourceParametersgdPlotParametersgdPlotProjectiongdReadgdServiceDeletegdServiceGetGenerativeDatagdServiceGetGenerativeModelgdServiceGetStatusgdServiceTraingdTraingdTrainParametersgdWriteSubset

Dependencies:askpassbackportsbase64enccliconfigcurlglueherehttrjsonlitelatticelifecyclemagrittrMatrixmimeopensslpngprocessxpsR6rappdirsRcppRcppTOMLreticulaterlangrprojrootrstudioapisystensorflowtfautographtfrunstidyselectvctrswhiskerwithryaml

Readme and manuals

Help Manual

Help pageTopics
Generate generative data for a data sourceganGenerativeData-package ganGenerativeData
Activate columnsdsActivateColumns
Calculate density values for data sourcedsCalculateDensityValues
Create a data source with passed data framedsCreateWithDataFrame
Deactivate columnsdsDeactivateColumns
Calculate inverse density value quantiledsDensityValueInverseQuantile
Get active column namesdsGetActiveColumnNames
Get inactive column namesdsGetInactiveColumnNames
Get number of rowsdsGetNumberOfRows
Get a row in a data sourcedsGetRow
Read a data source from filedsRead
Write a data source to filedsWrite
Calculate density value for a data recordgdCalculateDensityValue
Calculate density values for generative datagdCalculateDensityValues
Complete incomplete data recordgdComplete
Calculate inverse density value quantilegdDensityValueInverseQuantile
Calculate density value quantilegdDensityValueQuantile
Generate generative data for a data sourcegdGenerate
Specify parameters for generation of generative datagdGenerateParameters
Get number of rowsgdGetNumberOfRows
Get a row in generative datagdGetRow
Search for k nearest neighborsgdKNearestNeighbors
Specify plot parameters for data sourcegdPlotDataSourceParameters
Specify plot parameters for generative datagdPlotParameters
Create an image file for generative data and data sourcegdPlotProjection
Read generative data and data sourcegdRead
Delete a generated job from software service for accelerated training of generative modelsgdServiceDelete
Get generative data from software service for accelerated training of generative models for processed jobgdServiceGetGenerativeData
Get generative model from software service for accelerated training of generative models for processed jobgdServiceGetGenerativeModel
Get status of generated job from software service for accelerated training of generative modelsgdServiceGetStatus
Send a request to software service for accelerated training of generative models to train a generative model for a data sourcegdServiceTrain
Train a generative model for a data sourcegdTrain
Specify parameters for training of generative modelgdTrainParameters
Write subset of generative datagdWriteSubset