set.grid.points

Method for setting grid points for a specific feature plot

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.grid.points function

<dl><dt>object</dt>
<dd>The Interpreter class that we want to modify the grid points of.</dd>
<dt>feature</dt>
<dd>The name of the feature to set grid points for.</dd>
<dt>values</dt>
<dd>The set of new values to be used as the grid points for the selected feature.
Must be a vector with entries in the range of the feature values in the training set
and must match the type of the given feature (either a vector of factor levels
or a vector of continuous feature values). Note that the center must be within
the range of new grid points for continuous features.</dd></dl>

Arguments

Sets grid points used for plotting PDP and ICE plots — set.grid.points

<dl>

<dt>object</dt>
<dd>The Interpreter class that we want to modify the grid points of.</dd>


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


<dt>values</dt>
<dd>The set of new values to be used as the grid points for the selected feature.
Must be a vector with entries in the range of the feature values in the training set
and must match the type of the given feature (either a vector of factor levels
or a vector of continuous feature values). Note that the center must be within
the range of new grid points for continuous features.</dd>

</dl>

set.grid.points: Sets grid points used for plotting PDP and ICE plots

Description

Usage

Arguments