gdCalculateDensityValue

Calculate density value for a data record.
By default for the calculation a linear search is performed on normalized
generative data. When a search tree is used search is performed on a tree
for generative data which is built once in the first function call.

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

gdCalculateDensityValue function

<dl><dt>dataRecord</dt>
<dd>List containing an unnormalized data record.</dd>
<dt>useSearchTree</dt>
<dd>Boolean value indicating if a search tree should be used.</dd></dl>

Arguments

Calculate density value for a data record — gdCalculateDensityValue

<dl>

<dt>dataRecord</dt>
<dd>List containing an unnormalized data record.</dd>


<dt>useSearchTree</dt>
<dd>Boolean value indicating if a search tree should be used.</dd>

</dl>

gdCalculateDensityValue: Calculate density value for a data record

Description

Usage

Value

Arguments

Examples