get_cluster_distances

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

<dl><dt>stability</dt>
<dd>The stability analysis to query</dd>
<dt>num_trees</dt>
<dd>The number of trees to include in the clustering</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_cluster_distances'><code>IAI.get_cluster_distances</code></a>

Return the distances between the centroids of each pair of clusters, under
the clustering of a given number of trees — get_cluster_distances

<dl>

<dt>stability</dt>
<dd>The stability analysis to query</dd>


<dt>num_trees</dt>
<dd>The number of trees to include in the clustering</dd>

</dl>

Requires IAI version 2.2 or higher.

get_cluster_distances: Return the distances between the centroids of each pair of clusters, under the clustering of a given number of trees

Description

Usage

Arguments

IAI Compatibility

Examples