orbit-ml 1.1.3

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

Author

Edwin Ng, Zhishi Wang, Steve Yang, Yifeng Wu, Jing Pan

License

Apache License 2.0

Homepage

https://orbit-ml.readthedocs.io/en/stable/

PyPi

https://pypi.org/project/orbit-ml/

GitHub Repo

https://github.com/uber/orbit

Classifiers

Related Packages

Errors

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