fit_predict

The learner or grid to use for estimation

The treatment applied to each point in the data.

treatments

The outcome observed for each point in the data.

outcomes

For numeric treatments, the treatment candidates to consider

For categorical treatments, returns the estimated reward under each
treatment observed in the data. For numeric treatments, returns the
estimated reward under each treatment candidate.

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 

fit_predict function

Fit a reward estimation model on features, treatments and outcomes and
return predicted counterfactual rewards for each observation, as well as the
score of the internal outcome estimator. — fit_predict

Fit a reward estimation model on features, treatments and outcomes and
return predicted counterfactual rewards for each observation, as well as the
score of the internal outcome estimator.

fit_predict: Fit a reward estimation model on features, treatments and outcomes and return predicted counterfactual rewards for each observation, as well as the score of the internal outcome estimator.

Description

Usage

Arguments

Details

Examples