fit_predict.numeric_reward_estimator: Fit a numeric reward estimator on features, treatments and...

In iai: Interface to 'Interpretable AI' Modules

Fit a numeric reward estimator on features, treatments and outcomes and return predicted counterfactual rewards for each observation, under each treatment candidate, as well as the scores of the internal estimators.

Description

Julia Equivalent: IAI.fit_predict!

Usage

## S3 method for class 'numeric_reward_estimator'
fit_predict(obj, X, treatments, ...)

Arguments

obj	The learner or grid to use for estimation
X	The features of the data.
treatments	The treatment applied to each point in the data.
...	Additional arguments depending on the treatment and outcome types. Refer to the Julia documentation for more information.

IAI Compatibility

Requires IAI version 2.1 or higher.

Examples

## Not run: iai::fit_predict(obj, X, treatments, outcomes)

iai documentation built on Oct. 19, 2024, 1:07 a.m.