tree_plot

Julia Equivalent:
<a href="https://docs.interpretable.ai/v3.2.2/IAITrees/reference/#IAI.TreePlot-Tuple%7BTreeLearner%7D"><code>IAI.TreePlot</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 

tree_plot function

<dl><dt>lnr</dt>
<dd>The learner to visualize.</dd>
<dt>...</dt>
<dd>Refer to the <a href="https://docs.interpretable.ai/v3.2.2/IAITrees/advanced/#Advanced-Visualization-1">Julia documentation on advanced tree visualization</a> for available parameters.</dd></dl>

Arguments

Requires IAI version 1.1 or higher.

IAI Compatibility

Julia Equivalent:
<a href='https://docs.interpretable.ai/v3.2.2/IAITrees/reference/#IAI.TreePlot-Tuple%7BTreeLearner%7D'><code>IAI.TreePlot</code></a>

Specify an interactive tree visualization of a tree learner — tree_plot

<dl>

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


<dt>...</dt>
<dd>Refer to the <a href='https://docs.interpretable.ai/v3.2.2/IAITrees/advanced/#Advanced-Visualization-1'>Julia documentation on advanced tree visualization</a> for available parameters.</dd>

</dl>

Requires IAI version 1.1 or higher.

tree_plot: Specify an interactive tree visualization of a tree learner

Description

Usage

Arguments

IAI Compatibility

Examples