generalized-additive-models
Generalized Additive Models in Python. (by tommyod)
pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks. (by pgmpy)
generalized-additive-models | pgmpy | |
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1 | 2 | |
13 | 2,627 | |
- | 1.1% | |
7.0 | 8.0 | |
4 months ago | 22 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
generalized-additive-models
Posts with mentions or reviews of generalized-additive-models.
We have used some of these posts to build our list of alternatives
and similar projects.
pgmpy
Posts with mentions or reviews of pgmpy.
We have used some of these posts to build our list of alternatives
and similar projects.
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Use data from tables generated in python console,
No need to post the help, here is the DiscreteFactor class https://github.com/pgmpy/pgmpy/blob/eb65f40d2b32bf2ad971181333bb9ed7aefde907/pgmpy/factors/discrete/DiscreteFactor.py
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[D] Python toolboxes for probabilistic graphical model inference
I do know of a few promising toolboxes such as pgmpy, pymc3, and pyro, but have not used either of them (for this purpose) and am at a bit of a loss picking one to start with.
What are some alternatives?
When comparing generalized-additive-models and pgmpy you can also consider the following projects:
pyhf - pure-Python HistFactory implementation with tensors and autodiff
causalnex - A Python library that helps data scientists to infer causation rather than observing correlation.