write_booster

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

write_booster function

<dl><dt>filename</dt>
<dd>Where to save the output.</dd>
<dt>lnr</dt>
<dd>The XGBoost learner with the booster to output.</dd></dl>

Arguments

Requires IAI version 2.1 or higher.

IAI Compatibility

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

Write the internal booster saved in the learner to file — write_booster

<dl>

<dt>filename</dt>
<dd>Where to save the output.</dd>


<dt>lnr</dt>
<dd>The XGBoost learner with the booster to output.</dd>

</dl>

Requires IAI version 2.1 or higher.

write_booster: Write the internal booster saved in the learner to file

Description

Usage

Arguments

IAI Compatibility

Examples