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Prophet is an open source software by Facebook that fits non-linear trends and seasonality to time series data. It is fast, robust, and tunable in R and Python.
- Install Prophet
As of v1.0, the package name on PyPI is “prophet”; prior to...
- Get started in R
Quick Start | Prophet. Python API. Prophet follows the...
- Trend Changepoints
You may have noticed in the earlier examples in this...
- Multiplicative Seasonality
With seasonality_mode='multiplicative', holiday effects will...
- Diagnostics
The Prophet model has a number of input parameters that one...
- Handling Shocks
We have an entry for each lockdown period, with ds...
- Saturating Forecasts
Saturating Forecasts. Forecasting Growth. By default,...
- Additional Topics
A common setting for forecasting is fitting models that need...
- Install Prophet
Prophet is an open source software by Facebook that forecasts time series data with seasonality and trends. Learn how to install, use, and contribute to Prophet in R and Python, and see the latest updates and features.
Learn how to use the Facebook Prophet library for automatic forecasting of univariate time series data with trends, seasonality, and holidays. See examples of loading, plotting, and evaluating car sales data with Prophet.
Learn how to use the Prophet model, a nonlinear regression model for forecasting data with strong seasonality and holiday effects. See examples with quarterly cement production and half-hourly electricity demand data.
At its core, the Prophet procedure is an additive regression model with four main components: A piecewise linear or logistic growth curve trend. Prophet automatically detects changes in trends by selecting changepoints from the data.
19 de feb. de 2021 · Facebook Prophet is an open-source algorithm for generating time-series models that uses a few old ideas with some new twists. It is particularly good at modeling time series that have multiple seasonalities and doesn’t face some of the above drawbacks of other algorithms.
