apply

Julia Equivalent:
<a href="https://docs.interpretable.ai/v3.2.2/IAITrees/reference/#IAI.apply"><code>IAI.apply</code></a>

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 

apply function

<dl><dt>lnr</dt>
<dd>The learner or grid to query.</dd>
<dt>X</dt>
<dd>The features of the data.</dd></dl>

Arguments

Julia Equivalent:
<a href='https://docs.interpretable.ai/v3.2.2/IAITrees/reference/#IAI.apply'><code>IAI.apply</code></a>

Return the leaf index in a tree model into which each point in the features
falls — apply

<dl>

<dt>lnr</dt>
<dd>The learner or grid to query.</dd>


<dt>X</dt>
<dd>The features of the data.</dd>

</dl>

apply: Return the leaf index in a tree model into which each point in the features falls

Description

Usage

Arguments

Examples