Model agnostic tool for decomposition of predictions from black boxes.
Break Down Table shows contributions of every variable to a final prediction.
Break Down Plot presents variable contributions in a concise graphical way.
This package work for binary classifiers and general regression models.

Model Agnostic Explainers for Individual Predictions

package-ubuntu-20.04-r-4.0.5#cran#breakDown-0.2.1

<p>Extract betas values of a model for specific observations
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>object</code></td>
<td>
<p>a model</p>
</td>
</tr>
<tr valign="top">
<td><code>newdata</code></td>
<td>
<p>new observation(s) with columns that correspond to variables used in the model</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>unused additional parameters</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#breakDown-0.2.1#docs#betas

betas

Description

Usage

Arguments

Author(s)

breakDown

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`object`	a model
`newdata`	new observation(s) with columns that correspond to variables used in the model
`...`	unused additional parameters