Open ras44 opened 10 months ago
Some notes on areas that could possibly use attention:
About CausalML (https://causalml.readthedocs.io/en/latest/about.html)
Causal ML
or CausalML
?W
for treatment variable for notation consistencyMethodology
Perhaps add a section on propensity score, since it is referenced frequently?
S-Learner
Stage 2
T-Learner
In other words: we fit two models, each using the data from one of the two possible outcomes
define response under control, response under treatment \mu_0 and \mu_1
X-Learner
perhaps a high level intro mentioning the fact that X-Learners generate two estimates for CATE and then take a weighted average
R-Learner
add detail from Nie and Wager's paper
... will continue to add
Installation
README.md
and the docs)docs/installation.md
?Examples
Interpretable Causal ML
Thanks for taking the lead on this, @ras44.
To answer some of the questions:
docs/*.rst
will be our main documentation published to readthedocs, while README.md
will host a subset of instructions for installation and quick start examples.CausalML
to refer to the package.W
for treatment assignmentI will add more later.
@jeongyoonlee reference to the User guide Flowchart we created in KDD 2021 tutorial, inspired by EconML's flowchart
KDD 2021 - Introduction to CausalML
- page 41 and 42 in this slide, the slide doesn't look public anymore maybe due to updates in Uber org's gsuite permissionhi @paullo0106 would it be possible to share a higher-res/sharper version of that second screenshot? I was hoping to add it to the documentation 🙏
During Friday's office hours we discussed adding an introduction for new users about meta-learners, propensity modeling, etc. This issue was created to track and collaborate on those updates.
@jeongyoonlee, a couple questions:
Thanks!