Python中的自动时间序列预测

Mechanical Engineering eJournal Pub Date : 2020-04-20 DOI:10.2139/ssrn.3580631

Derek Snow

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引用次数: 2

摘要

这篇简短的报告讨论了最近兴起的程序化时间序列方法。这十年见证了商业和开源时间序列工具的激增，这就需要对公开可用的工具进行说明。与此调查相结合，开发了开源自动化时间序列框架AtsPy作为工作原型，以展示最先进的单变量时间序列方法的能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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AtsPy: Automated Time Series Forecasting in Python

This short report deals with the recent rise of programmatic time series methods. This decade has witnessed the proliferation of commercial and open source time-series tooling, which calls for an exposition of what is publicly available. In tandem with this survey, AtsPy, an open source automated time series framework is developed as a working prototype to showcase the ability of state of the art univariate time series methods.

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来源期刊

Mechanical Engineering eJournal

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