FDF

该数据集是与FDF框架相关，它概述了一个在数字孪生中描述人工智能管道的FDF流程。该流程包括用户定义的多种任务框，用于数字孪生工作流中的不同任务，如数据处理、学习简化基以及监督函数学习等。此外，该数据集还包含了为各种机器学习任务设计的处理器、编码器和训练器框。该任务涉及数字孪生和人工智能管道设计。

This dataset pertains to the FDF framework, which outlines an FDF workflow for describing artificial intelligence (AI) pipelines in digital twins. This workflow includes multiple user-defined task blocks for various tasks in digital twin workflows, such as data processing, learning simplified bases, and supervised function learning. Additionally, this dataset contains processor, encoder, and trainer blocks designed for diverse machine learning tasks. This task involves digital twin and AI pipeline design.