copy_splits_and_refit_leaves

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

copy_splits_and_refit_leaves function

<dl><dt>new_lnr</dt>
<dd>The learner to modify and refit</dd>
<dt>orig_lnr</dt>
<dd>The learner from which to copy the tree split structure</dd>
<dt>...</dt>
<dd>Refer to the Julia documentation for available parameters</dd></dl>

Arguments

Requires IAI version 3.0 or higher.

IAI Compatibility

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

Copy the tree split structure from one learner into another and refit the
models in each leaf of the tree using the supplied data — copy_splits_and_refit_leaves

<dl>

<dt>new_lnr</dt>
<dd>The learner to modify and refit</dd>


<dt>orig_lnr</dt>
<dd>The learner from which to copy the tree split structure</dd>


<dt>...</dt>
<dd>Refer to the Julia documentation for available parameters</dd>

</dl>

Requires IAI version 3.0 or higher.

copy_splits_and_refit_leaves: Copy the tree split structure from one learner into another and refit the models in each leaf of the tree using the supplied data

Description

Usage

Arguments

IAI Compatibility

Examples