stability_analysis

Refer to the
<a href="https://docs.interpretable.ai/v3.2.2/IAITrees/stability/#Tree-Stability-1">documentation on tree stability</a>
for more information.

An interface to the algorithms of 'Interpretable AI'
<https://www.interpretable.ai> from the R programming language.
'Interpretable AI' provides various modules, including 'Optimal Trees' for
classification, regression, prescription and survival analysis, 'Optimal
Imputation' for missing data imputation and outlier detection, and 'Optimal
Feature Selection' for exact sparse regression. The 'iai' package is an
open-source project. The 'Interpretable AI' software modules are proprietary
products, but free academic and evaluation licenses are available.

Jack Dunn

Interface to 'Interpretable AI' Modules

Ying Zhuo

Interpretable AI LLC 

stability_analysis function

<dl><dt>lnr</dt>
<dd>The original learner</dd>
<dt>...</dt>
<dd>Additional arguments (refer to Julia documentation)</dd></dl>

Arguments

Requires IAI version 2.2 or higher.

IAI Compatibility

Refer to the
<a href='https://docs.interpretable.ai/v3.2.2/IAITrees/stability/#Tree-Stability-1'>documentation on tree stability</a>
for more information.

Conduct a stability analysis of the trees in a tree learner — stability_analysis

<dl>

<dt>lnr</dt>
<dd>The original learner</dd>


<dt>...</dt>
<dd>Additional arguments (refer to Julia documentation)</dd>

</dl>

Requires IAI version 2.2 or higher.

stability_analysis: Conduct a stability analysis of the trees in a tree learner

Description

Usage

Arguments

IAI Compatibility

Details

Examples