dsActivateColumns

Activate columns in a data source in order to include them in training of generative models. By default columns are active.

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

dsActivateColumns function

<dl><dt>columnVector</dt>
<dd>Vector of column indices</dd></dl>

Arguments

Activate columns — dsActivateColumns

<dl>

<dt>columnVector</dt>
<dd>Vector of column indices</dd>

</dl>

dsActivateColumns: Activate columns

Description

Usage

Value

Arguments

Examples