all_treatment_combinations

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

all_treatment_combinations function

<dl><dt>...</dt>
<dd>A vector of possible options for each treatment</dd></dl>

Arguments

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

Return a dataframe containing all treatment combinations of one or more
treatment vectors, ready for use as treatment candidates in `fit_predict!`
or `predict` — all_treatment_combinations

<dl>

<dt>...</dt>
<dd>A vector of possible options for each treatment</dd>

</dl>

Return a dataframe containing all treatment combinations of one or more
treatment vectors, ready for use as treatment candidates in `fit_predict!`
or `predict`

all_treatment_combinations: Return a dataframe containing all treatment combinations of one or more treatment vectors, ready for use as treatment candidates in `fit_predict!` or `predict`

Description

Usage

Arguments

Examples