Added end-to-end pipeline for causal inference modeling HypEx (Hypotheses and Experiments).
It provides a standard interface that allows user to estimate the Average Treatment Effect (ATE), Average Treatment Effect on the Treated (ATT), and Average Treatment Effect on the Control (ATC)
The package currently supports the following features:
Feature selection via LightAutoML
Matching using faiss KNN
Outliers and Spearman filters
Validation of the result (Random treatment, random feature, random subset)
Data test (Standard mean difference (SMD) , Kolmogorov-Smirnov (KS-test) , Population Stability Index (PSI test), Repeats test
Added end-to-end pipeline for causal inference modeling HypEx (Hypotheses and Experiments).
It provides a standard interface that allows user to estimate the Average Treatment Effect (ATE), Average Treatment Effect on the Treated (ATT), and Average Treatment Effect on the Control (ATC)
The package currently supports the following features:
Check full guide of using here