fbprophet 0.7.1

Automatic Forecasting Procedure

Stars: 18361, Watchers: 18361, Forks: 4523, Open Issues: 421

The facebook/prophet repo was created 7 years ago and the last code push was 1 weeks ago.
The project is extremely popular with a mindblowing 18361 github stars!

How to Install fbprophet

You can install fbprophet using pip

pip install fbprophet

or add it to a project with poetry

poetry add fbprophet

Package Details

Author

Sean J. Taylor <[email protected]>, Ben Letham <[email protected]>

License

MIT

Homepage

https://facebook.github.io/prophet/

PyPi:

https://pypi.org/project/fbprophet/

GitHub Repo:

https://github.com/facebook/prophet

Classifiers

Related Packages

Errors

A list of common fbprophet errors.

Code Examples

Here are some fbprophet code examples and snippets.

GitHub Issues

The fbprophet package has 421 open issues on GitHub

• Removing logs of optimization in cross_validation
• Typo inn the Contributing Markdown File.
• Missing dates in Future
• Prophet with categorical or binary response (dependent) variable
• how to inverse forecast data to original after predict using stationany data from differencing?
• unable to install fbprophet in my virtual environment
• Predict a negative number for a stock whose entire history has been positive.
• Different seasonality length
• Intuition behind k and m value
• Cross Validation Without Weekend Data Along with Meaning of Cross Validation?
• How many records (categories) are allowed to group when using Prophet?
• forecasting values for each category using Prophet in python
• Issue with multiplicative holiday effects
• Simplify setup.py, make CmdStan the default backend
• LGPL-3.0 dependency in pymeeus library

See more issues on GitHub