predict_PDP.1D.Plotter

Gives prediction curve for all specified features in the
 plotter object

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

predict_PDP.1D.Plotter function

<dl><dt>object</dt>
<dd>The Interpreter object to plot PDP curves for.</dd>
<dt>features</dt>
<dd>A vector with the names of the features to predict ICE plots for</dd>
<dt>save</dt>
<dd>A boolean indicator to indicate whether the calculations should be
saved in the interpreter object or not. This can help reduce
computation if the PDP functions are used many times, but requires
additional memory to store the predictions. By default, this is set
to TRUE.</dd></dl>

Arguments

Prediction Function for PDP Plots — predict_PDP.1D.Plotter

<dl>

<dt>object</dt>
<dd>The Interpreter object to plot PDP curves for.</dd>


<dt>features</dt>
<dd>A vector with the names of the features to predict ICE plots for</dd>


<dt>save</dt>
<dd>A boolean indicator to indicate whether the calculations should be
saved in the interpreter object or not. This can help reduce
computation if the PDP functions are used many times, but requires
additional memory to store the predictions. By default, this is set
to TRUE.</dd>

</dl>

predict_PDP.1D.Plotter: Prediction Function for PDP Plots

Description

Usage

Value

Arguments

Details