标题： sktime：统一的时间序列机器学习接口 显示英文标题

标题： sktime: A Unified Interface for Machine Learning with Time Series

摘要： 我们介绍了sktime——一个与scikit-learn兼容的新Python库，它为时间序列的机器学习提供了统一的接口。 时间序列数据引出了各种不同的但紧密相关的学习任务，例如预测和时间序列分类，其中许多任务可以通过将其简化为相关且更简单的任务来解决。我们讨论了创建统一接口的主要理由，包括降维方法，以及sktime核心API的设计，并辅以常见时间序列任务和降维方法的清晰概述。 显示英文摘要

摘要： We present sktime -- a new scikit-learn compatible Python library with a unified interface for machine learning with time series. Time series data gives rise to various distinct but closely related learning tasks, such as forecasting and time series classification, many of which can be solved by reducing them to related simpler tasks. We discuss the main rationale for creating a unified interface, including reduction, as well as the design of sktime's core API, supported by a clear overview of common time series tasks and reduction approaches.