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View Code? Open in Web Editor NEWAmortized Inference for Causal Structure Learning, NeurIPS 2022
Home Page: https://arxiv.org/abs/2205.12934
License: MIT License
Amortized Inference for Causal Structure Learning, NeurIPS 2022
Home Page: https://arxiv.org/abs/2205.12934
License: MIT License
Hi! Two notes regarding installation (would be nice to include in README):
It appears that the PyPI package is out of date, as sklearn
support has been deprecated.
There are two solutions (in addition to updating the binaries on PyPI):
sklearn
line in setup.py
and installing via pip install -e .
export SKLEARN_ALLOW_DEPRECATED_SKLEARN_PACKAGE_INSTALL=True
Also, cmake
seems to be required for building some of the dependencies, notably pyarrow
. Is there a Python/system requirement for building this?
Edit: It appears that python=3.10
is required. Newer versions won't work.
Please consider referring to igraph
instead of python-igraph
in the following two locatons:
https://github.com/search?q=repo%3Alarslorch%2Favici%20python-igraph&type=code
See igraph/python-igraph#699 for why this is necessary to maintain access to new igraph releases.
Dear Authors,
Thanks for sharing the code and such a marvelous article, I am trying to understand the code and the work. However, I am not sure whether this approach work without the causal graph g[d,d] ? Please provide the guidance.
Thanks in advance.
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