\texttt{ml\_edm} is a Python 3 library, designed for early decision making of any learning tasks involving temporal/sequential data. The package is also modular, providing researchers an easy way to implement their own triggering strategy for classification, regression or any machine learning task. As of now, many Early Classification of Time Series (ECTS) state-of-the-art algorithms, are efficiently implemented in the library leveraging parallel computation. The syntax follows the one introduce in \texttt{scikit-learn}, making estimators and pipelines compatible with \texttt{ml\_edm}. This software is distributed over the BSD-3-Clause license, source code can be found at \url{https://github.com/ML-EDM/ml_edm}.

翻译：\texttt{ml\_edm} 是一个 Python 3 库，专为涉及时间/序列数据的任何学习任务进行早期决策而设计。该软件包采用模块化结构，为研究人员提供了一种简便的方式，以针对分类、回归或任何机器学习任务实现其自身的触发策略。目前，许多时间序列早期分类（ECTS）的先进算法已通过并行计算在库中高效实现。其语法遵循 \texttt{scikit-learn} 引入的规范，使得估计器和管道与 \texttt{ml\_edm} 兼容。本软件基于 BSD-3-Clause 许可证分发，源代码可在 \url{https://github.com/ML-EDM/ml_edm} 获取。