build.grid

A dataframe storing the true predictions and the PDP predictions

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

build.grid function

<dl><dt>object</dt>
<dd>The Interpreter object</dd>
<dt>feat.ind</dt>
<dd>The indices of the features in the Interpreter's features that we want
to include as PDP functions in the distilled model.</dd></dl>

Arguments

Build grid used for weights in distilled surrogate model — build.grid

<dl>

<dt>object</dt>
<dd>The Interpreter object</dd>


<dt>feat.ind</dt>
<dd>The indices of the features in the Interpreter's features that we want
to include as PDP functions in the distilled model.</dd>

</dl>

build.grid: Build grid used for weights in distilled surrogate model

Description

Usage

Value

Arguments