set_params

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

set_params function

<dl><dt>lnr</dt>
<dd>The learner to modify.</dd>
<dt>...</dt>
<dd>The parameters to set on the learner.</dd></dl>

Arguments

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

Set all supplied parameters on a learner — set_params

<dl>

<dt>lnr</dt>
<dd>The learner to modify.</dd>


<dt>...</dt>
<dd>The parameters to set on the learner.</dd>

</dl>

set_params: Set all supplied parameters on a learner

Description

Usage

Arguments

Examples