bambi
pyroute2
bambi | pyroute2 | |
---|---|---|
5 | 1 | |
1,013 | 910 | |
0.9% | - | |
8.0 | 9.1 | |
5 days ago | about 1 month ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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bambi
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Bayesian Structural Equation Modeling using blavaan
It is much less challenging with Bambi[1] and brms[2].
[1] https://bambinos.github.io/bambi/
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Ask HN: What Are You Learning?
I’m trying to learn statistics. I’m up to implementing regressions in python using sci-kit learn.
I was playing around with Bayesian modelling last night with https://bambinos.github.io/bambi/ But I’m not really sure how to interpret the outputs.
Always open to reading about learning resources/books/videos/courses from others.
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how can I build a regression model which is penalised for moving away from an assumed set of coefficients?
I would suggest using Python's bambi; it is based on PyMC and it is very straightforward to use. We simply define our priors argument as a dictionary (quite literally: my_priors = {"feature_1": bmb.Prior("Normal", mu=4, sigma=4), "feature_n": bmb.Prior("Normal", mu=0.4, sigma=0.4)}) when creating our Bambi Model object and we are ready to go. They have a lot of worked exampling in their website.
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Which not so well known Python packages do you like to use on a regular basis and why?
For those interested in Bayesian modeling in Python we also have Bambi https://github.com/bambinos/bambi
- Release Bambi 0.6.0 · bambinos/bambi
pyroute2
What are some alternatives?
deffcode - A cross-platform High-performance FFmpeg based Real-time Video Frames Decoder in Pure Python 🎞️⚡
mpire - A Python package for easy multiprocessing, but faster than multiprocessing
brms - brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
wireguard-namespace - Shell scripts to easily create and run programs in Linux network namespaces
mistletoe - A fast, extensible and spec-compliant Markdown parser in pure Python.
pdbpp - pdb++, a drop-in replacement for pdb (the Python debugger)
vimtk - A vim toolkit focused on gvim, IPython, and the terminal.
Construct - Construct: Declarative data structures for python that allow symmetric parsing and building
static-frame - Immutable and statically-typeable DataFrames with runtime type and data validation
Poe the Poet - A task runner that works well with poetry.
auto-editor - Auto-Editor: Effort free video editing!