over_ratio

under_ratio

For up- and down-sampling methods, these parameters control how much data are
added or removed from the training set. Used in <code>themis::step_rose()</code>,
<code>themis::step_smotenc()</code>, <code>themis::step_bsmote()</code>, <code>themis::step_upsample()</code>,
<code>themis::step_downsample()</code>, and <code>themis::step_nearmiss()</code>.

Many models contain tuning parameters (i.e. parameters that
cannot be directly estimated from the data). These tools can be used
to define objects for creating, simulating, or validating values for
such parameters.

Hannah Frick

dials

Tools for Creating Tuning Parameter Values

Max Kuhn

Posit Software, PBC 

over_ratio function

<dl><dt>range</dt>
<dd>A two-element vector holding the defaults for the smallest and
largest possible values, respectively. If a transformation is specified,
these values should be in the transformed units.</dd>
<dt>trans</dt>
<dd>A <code>trans</code> object from the <code>scales</code> package, such as
<code>scales::transform_log10()</code> or <code>scales::transform_reciprocal()</code>. If not provided,
the default is used which matches the units used in <code>range</code>. If no
transformation, <code>NULL</code>.</dd></dl>

Arguments

Parameters for class-imbalance sampling — over_ratio

<dl>

<dt>range</dt>
<dd>A two-element vector holding the defaults for the smallest and
largest possible values, respectively. If a transformation is specified,
these values should be in the transformed units.</dd>


<dt>trans</dt>
<dd>A <code>trans</code> object from the <code>scales</code> package, such as
<code>scales::transform_log10()</code> or <code>scales::transform_reciprocal()</code>. If not provided,
the default is used which matches the units used in <code>range</code>. If no
transformation, <code>NULL</code>.</dd>

</dl>

over_ratio: Parameters for class-imbalance sampling

Description

Usage

Arguments

Examples