gdPlotDataSourceParameters

Specify plot parameters for data source passed to function gdPlotProjection().

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

gdPlotDataSourceParameters function

<dl><dt>percent</dt>
<dd>Percent of randomly selected rows in data source</dd>
<dt>color</dt>
<dd>Colour for data points of data source</dd></dl>

Arguments

Specify plot parameters for data source — gdPlotDataSourceParameters

<dl>

<dt>percent</dt>
<dd>Percent of randomly selected rows in data source</dd>


<dt>color</dt>
<dd>Colour for data points of data source</dd>

</dl>

gdPlotDataSourceParameters: Specify plot parameters for data source

Description

Usage

Value

Arguments

Examples