pythonfix
orbit-ml 1.1.4.9
Orbit is a package for Bayesian time series modeling and inference.
Orbit is a package for Bayesian time series modeling and inference.
Stars: 1863, Watchers: 1863, Forks: 133, Open Issues: 50The uber/orbit repo was created 4 years ago and the last code push was 3 months ago.
The project is very popular with an impressive 1863 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/
- Documentation:
- https://orbit-ml.readthedocs.io/en/stable/
- 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 50 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
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