dmRead

Read a data model and generative data from files.
This function has to be called before calling API functions when
file names for a data model and gernerative data are not passed to functions directly.

Neural networks are applied to create a density value function which approximates density values for a data source. The trained neural network is analyzed for different levels. For each level metric subspaces with density values above a level are determined. The obtained set of metric subspaces and the trained neural network are assembled into a data model. A prerequisite is the definition of a data source, the generation of generative data and the calculation of density values. These tasks are executed using package 'ganGenerativeData' <https://cran.r-project.org/package=ganGenerativeData>.

Werner Mueller

ganDataModel

Build a Metric Subspaces Data Model for a Data Source

dmRead function

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

Arguments

Read a data model and generative data — dmRead

<dl>

<dt>dataModelFileName</dt>
<dd>Name of data model file</dd>


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

</dl>

dmRead: Read a data model and generative data

Description

Usage

Value

Arguments

Examples