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0.1.7 bayesNestor-0.1.7-py3-none-any.whl

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Project: bayesNestor
Version: 0.1.7
Filename: bayesNestor-0.1.7-py3-none-any.whl
Download: [link]
Size: 97365
MD5: 0b6c50f54ea3973acfb07e1cf00841c7
SHA256: 714260a021dfe20424970c27410911f4fd3008e58cc6b260a7b02cab1cbaac68
Uploaded: 2025-03-12 13:22:00 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.2
Name: bayesNestor
Version: 0.1.7
Summary: Nestor is a Bayesian Network implementation designed to dynamically generate personalized learning paths tailored to the unique psychological traits of each learner, optimizing educational outcomes.
Author: Robert Maier & Vamsi Krishna Nadimpalli
Author-Email: robert.maier[at]othr.de & vamsi.nadimpalli[at]oth-regensburg.de
License: MIT
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.10
Requires-Dist: dowhy (==0.11.1)
Requires-Dist: lxml (>=5.2)
Requires-Dist: matplotlib (>=3.9)
Requires-Dist: networkx (>=3.2)
Requires-Dist: numpy (==1.26.4)
Requires-Dist: pandas (>=2.2)
Requires-Dist: pgmpy (>=0.1.24)
Requires-Dist: pyAgrum (==1.15.0)
Requires-Dist: pytest (>=8.2)
Requires-Dist: setuptools (>=71.1)
Requires-Dist: Sphinx (>=7.4)
Requires-Dist: torch (==2.3.1)
Requires-Dist: ipython (>=8.16)
Requires-Dist: tabulate (>=0.9.0)
Requires-Dist: dash (>=2.16.0)
Description-Content-Type: text/markdown
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: license
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary
License-File: LICENSE.txt
License-File: AUTHORS.rst
[Description omitted; length: 2770 characters]

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top_level.txt

bayesnestor
examples
tests