Facebook prophet Python的简单使用

Facebook Prophet是一个用于时间序列预测的开源工具,由Facebook的数据科学团队发布。它适用于具有至少一年历史数据的每日数据,能够处理趋势、季节性和节假日。本文介绍了Prophet的基本使用,包括简单的代码示例,并展示了预测结果。Prophet易于使用,即使在数据不完整或存在异常值的情况下也能提供可靠的预测,并且允许手动调整以适应特定需求。

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Facebook prophet 的使用

Prophet意为先知、预言家。Prophet is a forecasting procedure implemented in R and Python. It is fast and provides completely automated forecasts that can be tuned by hand by data scientists and analysis’s.
Prophet 是一个用R和Python实现的预测程序。它提供了快速和完全自动的预测功能并且可以被数据科学家以及数据分析师手动调节。

  • Prophet简介
  • 简单的使用
  • 总结
  • 参考文献

Prophet简介

Prophet is a procedure for forecasting time series data. It is based on an additive model where non-linear trends are fit with yearly and weekly seasonality, plus holidays. It works best with daily periodicity data with at least one year of historical data. Prophet is robust to missing data, shifts in the trend, and large outliers. —— [ Prophet GitHub ]

官网简介

Prophet is open source software released by Facebook’s Core Data Science team. It is available for download on CRAN and PyPI.
Accurate and fast.
Prophet is used in many applications across Facebook for producing reliable forecasts for planning and goal setting. We’ve found it to perform better than any other approach in the majority of cases. We fit models in Stan so that you get forecasts in just a few seconds.
Fully automatic.
Get a reasonable forecast on messy data with no manual effort. Prophet is robust to outliers, missing data, and dramatic changes in your time series.
Tunable forecasts.
The Prophet procedure includes many possibilities for users to tweak and adjust forecasts. You can use human-i

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