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Home/Tasks/Prophet
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Prophet

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Quick Tool Decision

Should you use Prophet?

A procedure for forecasting time series data based on an additive model.

Category

Data & ML

Data confidence: release and verification fields are source-audited when available; other summary fields are community-aggregated.

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Overview

Prophet is an open-source forecasting tool developed by Facebook's Core Data Science team, implemented in R and Python. It utilizes an additive model to forecast time series data, decomposing it into trend, seasonality (yearly, weekly, daily), and holiday effects. Prophet is designed to handle time series with strong seasonal effects and several seasons of historical data, demonstrating robustness to missing data, trend shifts, and outliers. The models are fit in Stan, allowing for fast forecast generation, typically within seconds. It offers automated forecasts that can be fine-tuned with domain knowledge through human-interpretable parameters, making it suitable for applications requiring reliable forecasts for planning and goal setting across various industries. Its architecture allows easy integration with existing data science workflows.

Common tasks

Time Series ForecastingTrend AnalysisSeasonality AnalysisAnomaly DetectionRegression AnalysisData VisualizationStatistical ModelingPredictive Analytics

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Pricing

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