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anaconda.org : prophet
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.
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purl: pkg:conda/prophet
Keywords: forecasting, python, r
License: MIT
Latest release: 10 months ago
First release: about 2 years ago
Dependent repositories: 11
Stars: 15,641 on GitHub
Forks: 4,388 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 1 day ago