bambi
pydantic-to-typescript
| bambi | pydantic-to-typescript | |
|---|---|---|
| 5 | 3 | |
| 1,013 | 239 | |
| 0.9% | - | |
| 8.0 | 0.0 | |
| 5 days ago | 4 months ago | |
| Python | Python | |
| MIT License | MIT License |
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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/ -
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
pydantic-to-typescript
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Which not so well known Python packages do you like to use on a regular basis and why?
Bit niche, but I like using pydantic-to-typescript (https://github.com/phillipdupuis/pydantic-to-typescript) to automatically generate typescript definitions for my fastapi apps. Or any app which uses pydantic models.
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pydantic-to-typescript: a simple CLI tool for converting pydantic models into typescript interfaces
Complete documentation, examples, and the source code can all be viewed here: https://github.com/phillipdupuis/pydantic-to-typescript
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Python & Typescript
There are also some packages out there for converting the types directly into their typescript equivalents: https://github.com/phillipdupuis/pydantic-to-typescript/
What are some alternatives?
deffcode - A cross-platform High-performance FFmpeg based Real-time Video Frames Decoder in Pure Python 🎞️⚡
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
brms - brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
full-stack-fastapi-template - Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
mistletoe - A fast, extensible and spec-compliant Markdown parser in pure Python.
odmantic - Sync and Async ODM (Object Document Mapper) for MongoDB based on python type hints
vimtk - A vim toolkit focused on gvim, IPython, and the terminal.
opyrator - 🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
pyroute2 - Python Netlink and PF_ROUTE library — network configuration and monitoring
dynamoquery - Python AWS DynamoDB ORM
static-frame - Immutable and statically-typeable DataFrames with runtime type and data validation
enforce - Python 3.5+ runtime type checking for integration testing and data validation