dsCalculateDensityValues

Read a data source from a file, calculate density values and write the data source with density values to original file.
Calculated density values are used to evaluate 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>.

Werner Mueller

ganGenerativeData

Generate Generative Data for a Data Source

dsCalculateDensityValues function

<dl><dt>dataSourceFileName</dt>
<dd>Name of data source file name</dd>
<dt>nNearestNeighbors</dt>
<dd>number of used nearest neighbors</dd></dl>

Arguments

Calculate density values for data source — dsCalculateDensityValues

<dl>

<dt>dataSourceFileName</dt>
<dd>Name of data source file name</dd>


<dt>nNearestNeighbors</dt>
<dd>number of used nearest neighbors</dd>

</dl>

dsCalculateDensityValues: Calculate density values for data source

Description

Usage

Value

Arguments

Examples