gdCalculateDensityValues

Read generative data from a file, calculate density values and write
generative data with density values to original file. Calculated density
values are used to classify generative data. In function gdPlotParameters()
density value thresholds with assigned colors can be passed to draw
generative data for different density value ranges.

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

gdCalculateDensityValues function

<dl><dt>generativeDataFileName</dt>
<dd>Name of generative data file name</dd></dl>

Arguments

Calculate density values for generative data — gdCalculateDensityValues

<dl>

<dt>generativeDataFileName</dt>
<dd>Name of generative data file name</dd>

</dl>

gdCalculateDensityValues: Calculate density values for generative data

Description

Usage

Value

Arguments

Examples