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Top 6 Python regression-model Projects
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orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood. (by uber)
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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llm4regression
Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update
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ols_regression
OLS regression with possibility of controlling for fixed effects and robust standard errors
Project mention: Bayesian Structural Equation Modeling using blavaan | news.ycombinator.com | 2023-11-09It is much less challenging with Bambi[1] and brms[2].
[1] https://bambinos.github.io/bambi/
Project mention: LLM Is a Capable Regressor When Given In-Context Examples | news.ycombinator.com | 2024-04-13If you're interested in exploring other metrics, the output of the models and code examples for how to read them are available at: https://github.com/robertvacareanu/llm4regression/tree/main/...
For example:
> In fact, polynomial interpolants in Chebyshev points are problem-free when evaluated by the barycentric interpolation formula. They have teh same behavior as discrete Fourier series for period functions, whose reliability nobody worries about. The introduction of splines is a red herring: the true advantage of splines is not that they converge where polynomials fail to do so, but that they are more easility adapted to irregular point distributions and more localized.
You can see also the software package https://www.chebfun.org/ for Chebyshev interpolations with Matlap and https://github.com/rnburn/bbai for interpolation Chebyshev interpolations of arbitrary dimension functions with sparse grids for Python.
Python regression-models related posts
- Cubic Spline Interpolation
- Ask HN: What Are You Learning?
- [P] Deterministic Objective Bayesian Analysis for Spatial Models
- Show HN: Deterministic objective Bayesian inference for spatial models [pdf]
- how can I build a regression model which is penalised for moving away from an assumed set of coefficients?
- [P] Fit Logistic Regression with Jeffreys Prior
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A note from our sponsor - WorkOS
workos.com | 26 Apr 2024
Index
What are some of the best open-source regression-model projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | statsmodels | 9,534 |
2 | orbit | 1,799 |
3 | bambi | 1,011 |
4 | llm4regression | 88 |
5 | bbai | 41 |
6 | ols_regression | 0 |
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