Technology Radar
Published : Nov 05, 2025
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar.
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Nov 2025
Trial
MLForecast 是一个用于时间序列预测的 Python 框架和库，它将机器学习模型应用于大规模数据集。它简化了通常复杂的自动特征工程过程——包括滞后特征、滑动统计和基于日期的特征——并且是少数原生支持分布式计算框架（如 Spark 和 Dask）的库之一，从而保证了可扩展性。它还支持使用符合预测等方法进行概率预测，为预测不确定性提供量化指标。在我们的评估中，MLForecast 能够高效处理数百万数据点，并持续优于同类工具。对于希望在高数据量场景下快速实现时间序列预测的团队，MLForecast 是一个非常有吸引力的选择。
