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I need to install causalml, but it requires me to use sklearn==1.2.2 and pandas==1.3.5 in my pip virtual environment to avoid conflicts. Is there a solution to this issue caused by causalml’s outdated library dependencies?
The text was updated successfully, but these errors were encountered:
We relaxed the pandas (and numpy) version requirement in #681, but it's not trivial for scikit-learn as our causal tree implementation depends on a specific version of scikit-learn.
It involves removing dependencies on the Scikit-learn's tree module within causalml.inference.tree.causal.*. Check out #686 for more details and one proposal by @alexander-pv.
I'm closing this issue as the pandas version requirement has been relaxed in #681, and we have #682, which is more specific for the scikit-learn dependency.
I need to install causalml, but it requires me to use sklearn==1.2.2 and pandas==1.3.5 in my pip virtual environment to avoid conflicts. Is there a solution to this issue caused by causalml’s outdated library dependencies?
The text was updated successfully, but these errors were encountered: