dsWrite

Write a data source including settings of active columns to a file in binary format.
This file will be used as input in functions for generation of generative data.

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>.

Werner Mueller

ganGenerativeData

Generate Generative Data for a Data Source

dsWrite function

<dl><dt>fileName</dt>
<dd>Name of data source file</dd></dl>

Arguments

Write a data source including settings of active columns to a file in binary format.
This file will be used as input in functions for generation of generative data.

Write a data source to file — dsWrite

<dl>

<dt>fileName</dt>
<dd>Name of data source file</dd>

</dl>

dsWrite: Write a data source to file

Description

Usage

Value

Arguments

Examples