EconML
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py-why
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goal...
For our usecase we want to use DML with a continuous outcome variable, a discrete treatment (5000 levels) and 20-30 features. We want to use DML as it allows us...
Hi all, I've got a use-case for econml, and I'm having a hard time installing it together with my current stack, which uses numpy 2 and sklearn 1.6. I've seen...
Getting errors when using econml with numpy>=2.0: ``` /usr/share/miniconda/envs/test/lib/python3.9/site-packages/responsibleai/managers/causal_manager.py:10: in from econml.solutions.causal_analysis import CausalAnalysis /usr/share/miniconda/envs/test/lib/python3.9/site-packages/econml/solutions/causal_analysis/__init__.py:4: in from ._causal_analysis import CausalAnalysis /usr/share/miniconda/envs/test/lib/python3.9/site-packages/econml/solutions/causal_analysis/_causal_analysis.py:13: in from numpy.lib.function_base import iterable E ModuleNotFoundError: No module...
Hi Team, I am working with an observational dataset and aim to estimate the causal impact. However, since I need to compute the causal effects for various data slices, re-training...
Hi, This is related to a [previous issue](https://github.com/py-why/EconML/issues/930). Would like to know how to use DoubleML for >1 treatments. Suppose we have two separate treatments using two different DoubleML models...
Hi, I'm new to this. I want to know if the coef_ I have got in LinnearDML is CATE? If not, what these coef_ mean? where can I get CATE...
I found despite setting `n_jobs` to -1 or number of CPU cores, the `CausalForestDML` is still very slow to train. It turns out that it gets stuck in `_BaseGRF.oob_predict()` since...
I noticed that this code doesn't work when the user has already the predictions. HI wrote this code and can be added to tmle.py. This code gives slightly different results....
I have a situation where I am getting different ATE estimates with same input dataset and same random seed. If I run today the average ATE number is around 1....
