summary.mid

For "mid" objects, <code><a href="/link/summary()?package=midr&version=0.5.0" data-mini-rdoc="midr::summary()">summary()</a></code> prints information about the fitted MID model.

The goal of 'midr' is to provide a model-agnostic method for interpreting and explaining black-box predictive models by creating a globally interpretable surrogate model. The package implements 'Maximum Interpretation Decomposition' (MID), a functional decomposition technique that finds an optimal additive approximation of the original model. This approximation is achieved by minimizing the squared error between the predictions of the black-box model and the surrogate model. The theoretical foundations of MID are described in Iwasawa & Matsumori (2025) [Forthcoming], and the package itself is detailed in Asashiba et al. (2025) <doi:10.48550/arXiv.2506.08338>.

Ryoichi Asasihba

midr

Learning from Black-Box Models by Maximum Interpretation
Decomposition

Hirokazu Iwasawa

Reiji Kozuma

summary.mid function

<dl><dt>object</dt>
<dd>a "mid" object to be summarized.</dd>
<dt>digits</dt>
<dd>an integer specifying the number of significant digits.</dd>
<dt>top.n</dt>
<dd>an integer specifying the maximum number of terms to be printed with the MID importance values.</dd>
<dt>...</dt>
<dd>not used.</dd></dl>

Arguments

For "mid" objects, <code><a href='https://rdrr.io/r/base/summary.html'>summary()</a></code> prints information about the fitted MID model.

Summarize MID Models — summary.mid

<dl>

<dt>object</dt>
<dd>a "mid" object to be summarized.</dd>


<dt>digits</dt>
<dd>an integer specifying the number of significant digits.</dd>


<dt>top.n</dt>
<dd>an integer specifying the maximum number of terms to be printed with the MID importance values.</dd>


<dt>...</dt>
<dd>not used.</dd>

</dl>

summary.mid: Summarize MID Models

Description

Usage

Value

Arguments

Details

Examples