gdComplete

Search for first nearest neighbor in normalized generative data for incomplete data record containing NA values.
Found row in generative data is then used to replace NA values in inccomplete data record. This function calls
gdKNearestNeighbors() with parameter k equal to 1.

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

gdComplete function

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

Arguments

Complete incomplete data record — gdComplete

<dl>

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


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

</dl>

gdComplete: Complete incomplete data record

Description

Usage

Value

Arguments

Examples