set.center.at

Method for setting center value for a specific feature

Provides several methods for model distillation and interpretability
for general black box machine learning models and treatment effect estimation
methods. For details on the algorithms implemented, see <https://forestry-labs.github.io/distillML/index.html>
Brian Cho, Theo F. Saarinen, Jasjeet S. Sekhon, Simon Walter.

Theo Saarinen

distillML

Model Distillation and Interpretability Methods for Machine
Learning Models

Brian Cho

Jasjeet Sekhon

Simon Walter

set.center.at function

<dl><dt>object</dt>
<dd>The Interpreter class that we want to recenter the plots of.</dd>
<dt>feature</dt>
<dd>The name of the feature to set grid points for.</dd>
<dt>value</dt>
<dd>The new value to use for the plots of the specified feature to be centered at.
Must match the type of the feature (a factor level or continuous value in the range
of the specified feature).</dd></dl>

Arguments

Sets a new center in the PDP and ICE plots made by an Interpreter — set.center.at

<dl>

<dt>object</dt>
<dd>The Interpreter class that we want to recenter the plots of.</dd>


<dt>feature</dt>
<dd>The name of the feature to set grid points for.</dd>


<dt>value</dt>
<dd>The new value to use for the plots of the specified feature to be centered at.
Must match the type of the feature (a factor level or continuous value in the range
of the specified feature).</dd>

</dl>

set.center.at: Sets a new center in the PDP and ICE plots made by an Interpreter

Description

Usage

Arguments