GetRange

Get the recommended range for multiple discretisations

Functions for MultiDimensional Feature Selection (MDFS):
calculating multidimensional information gains, scoring variables,
finding important variables, plotting selection results.
This package includes an optional CUDA implementation that speeds up
information gain calculation using NVIDIA GPGPUs.
R. Piliszek et al. (2019) <doi:10.32614/RJ-2019-019>.

Radosław Piliszek

MDFS

MultiDimensional Feature Selection

Krzysztof Mnich

Paweł Tabaszewski

Szymon Migacz

Andrzej Sułecki

GetRange function

<dl><dt>k</dt>
<dd>the assumed minimum number of objects in a bucket (the default is the recommended value)</dd>
<dt>n</dt>
<dd>the total number of objects considered</dd>
<dt>dimensions</dt>
<dd>the number of dimensions of analysis</dd>
<dt>divisions</dt>
<dd>the number of divisions of discretisations</dd></dl>

Arguments

Get the recommended range for multiple discretisations — GetRange

<dl>

<dt>k</dt>
<dd>the assumed minimum number of objects in a bucket (the default is the recommended value)</dd>


<dt>n</dt>
<dd>the total number of objects considered</dd>


<dt>dimensions</dt>
<dd>the number of dimensions of analysis</dd>


<dt>divisions</dt>
<dd>the number of divisions of discretisations</dd>

</dl>

GetRange: Get the recommended range for multiple discretisations

Description

Usage

Value

Arguments

Examples