get_tree

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

get_tree function

<dl><dt>lnr</dt>
<dd>The original learner</dd>
<dt>index</dt>
<dd>The index of the tree to use</dd></dl>

Arguments

Requires IAI version 2.2 or higher.

IAI Compatibility

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

Return a copy of the learner that uses a specific tree rather than the tree
with the best training objective. — get_tree

<dl>

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


<dt>index</dt>
<dd>The index of the tree to use</dd>

</dl>

Requires IAI version 2.2 or higher.

get_tree: Return a copy of the learner that uses a specific tree rather than the tree with the best training objective.

Description

Usage

Arguments

IAI Compatibility

Examples