Explainable T-learner Deep Learning Uplift Model Using Python Package CausalML T-learner uplift models using XGBoost, lightGBM, and neural network model with feature importance and model interpretation

Explainable T-learner Deep Learning Uplift Model Using Python Package CausalML

T-learner is a meta-learner that uses two machine learning models to estimate the individual-level heterogeneous causal treatment effect. In this tutorial, we will talk about how to use the python package causalML to build a T-learner. We will cover: Resources for this post: If you are interested in building a T-learner manually, please check out my previous …

Explainable T-learner Deep Learning Uplift Model Using Python Package CausalML Read More »