ppstacy

Hi @soodimilanlouei the link you put there is for the uplift tree notebook, so I am a bit confused about what you are trying to ask here. Could you please...

Hi @patriciowoodley thanks for using CasualML! Currently, the sensitivity analysis code itself only supports the single treatment use case. But I do think you can run this iteratively for different...

Hi @imaginarymuffin R-learner itself uses cross-validaiton as well as described [here](https://causalml.readthedocs.io/en/latest/methodology.html#r-learner). I saw you already fix the random_state in `BaseRRegressor(learner=XGBRegressor(random_state=10))`, but R-learner also need the similar input (see code [here](https://github.com/uber/causalml/blob/1fba16ab292fbcea832a021e2ef7729a4cbe4cb9/causalml/inference/meta/rlearner.py#L41))...

Hi @evamoosbrugger, thanks for rising it here. This function will return two output one for `Random` which is the Qini score for random targeting without any model and one of...

Thanks @DanielDaCosta for your contribution here! Hi @jeongyoonlee I have a quick question, do you think if it's possible for us to set up the unit test for the environment...

Thanks @enzoliao for identifying the issue the fix looks good to me. Please submit a PR for CausalML as well. Appreciate your contribution!

Hi @yoshiakit thanks for using CausalML and reporting this. I think @yungmsh who is the contribution of the explainer module probably will know more why we set it up as...

@cclauss the build seems failed for all the versions - do you mind take a look? Thanks!

Hi @Thomas9292 thanks for using `CausalML`. I think it definitely makes sense to do the validation. To serve this purpose in our example notebook for meta-learner[ here ](https://github.com/uber/causalml/blob/master/examples/meta_learners_with_synthetic_data.ipynb) Part-B, we...

Hi @baendigreydo, to calculate those metrics for non-synthetic data unfortunately we don't have the functions now to let you directly use them, but you can reference the [code](https://github.com/uber/causalml/blob/master/causalml/dataset/synthetic.py#L329-L373) here to...