get_estimation_densities

Julia Equivalent:
<a href="https://docs.interpretable.ai/v3.2.2/RewardEstimation/reference/#IAI.get_estimation_densities"><code>IAI.get_estimation_densities</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_estimation_densities function

<dl><dt>lnr</dt>
<dd>The learner from which to extract densities</dd>
<dt>...</dt>
<dd>Refer to the Julia documentation for other parameters</dd></dl>

Arguments

Requires IAI version 2.2 or higher.

IAI Compatibility

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

Return the total kernel density surrounding each treatment candidate for the
propensity/outcome estimation problems in a fitted learner. — get_estimation_densities

<dl>

<dt>lnr</dt>
<dd>The learner from which to extract densities</dd>


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

</dl>

Requires IAI version 2.2 or higher.

get_estimation_densities: Return the total kernel density surrounding each treatment candidate for the propensity/outcome estimation problems in a fitted learner.

Description

Usage

Arguments

IAI Compatibility

Examples