ras44

I agree

Thanks for your feedback. I was actually motivated to ask about GATES and CLAN after seeing the BLP implementation in `test_calibration`. I considered using the `average_treatment_effect` function with the `subset`...

@thangarajan8 I believe the issue you're having is that `gcc` and `g++` are not installed, you might want to run ``` sudo apt-get install -y gcc g++ ```

@jeongyoonlee happy to take a look at this PR again too

it responds with `bash: sudo: command not found` apt-get install git responds with: ``` Reading package lists... Done Building dependency tree Reading state information... Done E: Unable to locate package...

hi @cheecharron as you mentioned, you can get conditional response surface predictions for T-learners via the `return_components` argument: https://github.com/uber/causalml/blob/a0315660d9b14f5d943aa688d8242eb621d2ba76/causalml/inference/meta/tlearner.py#L143 For the S-Learner, it's similar: https://github.com/uber/causalml/blob/a0315660d9b14f5d943aa688d8242eb621d2ba76/causalml/inference/meta/slearner.py#L94 For the R meta learner,...

Some notes on areas that could possibly use attention: - About CausalML (https://causalml.readthedocs.io/en/latest/about.html) - Is it `Causal ML` or `CausalML`? - use `W` for treatment variable for notation consistency -...

hi @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 🙏

Seems related to https://github.com/docker-library/python/issues/558

FYI @jeongyoonlee setuptools does not seem to support py3.9 yet, so I think this is part of what's causing the py39 build issues https://pyreadiness.org/3.9/ In other words, although causalml supports...