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[ENH] Simulation module for data-generating graphical models emphasiz…
…ing usage with discrete data (#82) * Begin work on discrete sampling * Add nvidia install for pgmpy * Fix codecov --------- Signed-off-by: Adam Li <adam2392@gmail.com>
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# YAML 1.2 | ||
--- | ||
# Metadata for citation of this software according to the CFF format (https://citation-file-format.github.io/) | ||
cff-version: 1.2.0 | ||
title: 'Pywhy-Graphs: Causal graphs that are networkx-compliant for the py-why ecosystem.' | ||
abstract: 'Pywhy-Graphs is a Python library to represent causal graphs and its related algorithms using a networkx-like API in Python.' | ||
authors: | ||
- given-names: Adam | ||
family-names: Li | ||
affiliation: 'Department of Computer Science, Columbia University, New York, NY, USA' | ||
orcid: 'https://orcid.org/0000-0001-8421-365X' | ||
- given-names: Jaron | ||
family-names: Lee | ||
affiliation: 'Johns Hopkins University' | ||
email: 'jaron2005@gmail.com' | ||
- given-names: Aryan | ||
family-names: Roy | ||
affiliation: 'Manipal Institute of Technology' | ||
email: 'aryanroy5678@gmail.com' | ||
type: software | ||
repository-code: 'https://github.com/py-why/pywhy-graphs' | ||
license: MIT | ||
keywords: | ||
- causality | ||
- pywhy | ||
- graphs | ||
- networkx | ||
... |
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