apply_nodes

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

Return the indices of the points in the features that fall into each node of
a trained tree model — apply_nodes

<dl>

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


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

</dl>

apply_nodes: Return the indices of the points in the features that fall into each node of a trained tree model

Description

Usage

Arguments

Examples