Once we have modeled causal relationships, we are ready to move to the next step: performing causal tasks. DoWhy supports the following tasks.
- Effect estimation: If we change X, how much will it cause Y to change?
- Attribution: Why did an event happen? How to explain an outcome? Which of my variables caused the anomaly?
- Counterfactual estimation: What if X had been changed to a different value than its observed value? What would have been the values of other variables?
- Prediction: Given an input with new values of some input features, what will be the value of Y?
This chapter describes how to perform each of these tasks.
.. toctree:: :maxdepth: 2 estimating_causal_effects/index quantify_causal_influence/index root_causing_and_explaining/index what_if/index causal_prediction/index