predict_ALE

Prediction function for the ALE plots

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_ALE function

<dl><dt>x</dt>
<dd>An interpreter object</dd>
<dt>feature</dt>
<dd>The feature to build the ALE for (must be continuous)</dd>
<dt>training_data</dt>
<dd>The training data to use in order to build the ALE</dd>
<dt>save</dt>
<dd>Boolean to save the ALE predictions</dd></dl>

Arguments

Prediction function for the ALE plots — predict_ALE

<dl>

<dt>x</dt>
<dd>An interpreter object</dd>


<dt>feature</dt>
<dd>The feature to build the ALE for (must be continuous)</dd>


<dt>training_data</dt>
<dd>The training data to use in order to build the ALE</dd>


<dt>save</dt>
<dd>Boolean to save the ALE predictions</dd>

</dl>

predict_ALE: Prediction function for the ALE plots

Description

Usage

Value

Arguments