gituser/production/: fbprophet-0.6 metadata and description

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Automatic Forecasting Procedure

author Sean J. Taylor <sjtz@pm.me>, Ben Letham <bletham@fb.com>
author_email sjtz@pm.me
classifiers
  • Programming Language :: Python
  • Programming Language :: Python :: 2.7
  • Programming Language :: Python :: 3
  • Programming Language :: Python :: 3.7
license MIT
requires_dist
  • Cython (>=0.22)
  • cmdstanpy (==0.4)
  • pystan (>=2.14)
  • numpy (>=1.10.0)
  • pandas (>=0.23.4)
  • matplotlib (>=2.0.0)
  • LunarCalendar (>=0.0.9)
  • convertdate (>=2.1.2)
  • holidays (>=0.9.5)
  • setuptools-git (>=1.2)
  • python-dateutil (>=2.8.0)
File Tox results History
fbprophet-0.6-py3-none-any.whl
Size
6 MB
Type
Python Wheel
Python
3

Implements a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.