dmPlotEvaluateDataSourceParameters

Specify plot parameters for evaluated data source passed to dmPlotMetricSubspaces().

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

dmPlotEvaluateDataSourceParameters function

<dl><dt>level</dt>
<dd>Level for evaluation</dd>
<dt>color</dt>
<dd>Color for data points of evaluaded data source</dd></dl>

Arguments

Specify plot parameters for evaluated data source — dmPlotEvaluateDataSourceParameters

<dl>

<dt>level</dt>
<dd>Level for evaluation</dd>


<dt>color</dt>
<dd>Color for data points of evaluaded data source</dd>

</dl>

dmPlotEvaluateDataSourceParameters: Specify plot parameters for evaluated data source

Description

Usage

Value

Arguments

Examples