Contents

orbit-ml 1.1.2

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

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

Stars: 1472, Watchers: 1472, Forks: 110, Open Issues: 48

The uber/orbit repo was created 2 years ago and was last updated Yesterday.
The project is very popular with an impressive 1472 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 <[email protected]>, Steve Yang <[email protected]>, Zhishi Wang <[email protected]>, Yifeng Wu <[email protected]>, Jing Pan <[email protected]>
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

No  orbit-ml  pypi packages just yet.

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 48 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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