orbit-ml 1.1.3


Orbit is a package for Bayesian time series modeling and inference.

Orbit is a package for Bayesian time series modeling and inference.

Stars: 1570, Watchers: 1570, Forks: 119, Open Issues: 54

The uber/orbit repo was created 2 years ago and was last updated 10 hours ago.
The project is very popular with an impressive 1570 github stars!

How to Install orbit-ml

You can install orbit-ml using pip

pip install orbit-ml

or add it to a project with poetry

poetry add orbit-ml

Package Details

Edwin Ng, Zhishi Wang, Steve Yang, Yifeng Wu, Jing Pan
Apache License 2.0
GitHub Repo


No  orbit-ml  pypi packages just yet.


A list of common orbit-ml errors.

Code Examples

Here are some orbit-ml code examples and snippets.

GitHub Issues

The orbit-ml package has 54 open issues on GitHub

  • First Attempt in Revisiting the log and suppressing stan log
  • Utils/make future df
  • explore logging system
  • Increase transparency when setting global input / parameters
  • ARMA Prototype
  • No such file or directory: '/usr/local/lib/python3.7/dist-packages/orbit/plot_style.mplstyle'
  • Error when fitting KTR to monthly data with yearly seasonality
  • Expand support on different link function
  • Expand support on more kernels
  • Generalized Linear Regression (Binomial and Poisson) Prototype
  • Binomial and Poisson Regression Example Dataset for BLR
  • Horseshoe Prior for variables selection
  • Regression Example Dataset for BLR
  • Ensemble models based on WBIC / WAIC
  • Added conda install information

See more issues on GitHub

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