Contents

fbprophet 0.7.1

0

Automatic Forecasting Procedure

Automatic Forecasting Procedure

Stars: 17692, Watchers: 17692, Forks: 4451, Open Issues: 391

The facebook/prophet repo was created 7 years ago and the last code push was 5 days ago.
The project is extremely popular with a mindblowing 17692 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

No  fbprophet  pypi packages just yet.

Errors

A list of common fbprophet errors.

Code Examples

Here are some fbprophet code examples and snippets.

GitHub Issues

The fbprophet package has 391 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

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