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Computation platform agnostic data classification workflows

机译:计算平台不可知数据分类工作流程

摘要

Various embodiments include a classification platform system. A user can define a classification experiment on the classification platform system. For example, the user can define an input data space by selecting at least one of data sources interfaced with the classification platform system and defining a workflow configuration including a directed graph (DG) connecting a plurality of transformation blocks to represent an experiment workflow. The DG can specify how one or more outputs of each of the transformation blocks are fed into one or more other transformation blocks. The DG can be executed by various types of computation platforms. The classification platform system can schedule the experiment workflow to be executed on a distributed computation platform according to the input data space and the workflow configuration.
机译:各个实施例包括分类平台系统。用户可以在分类平台系统上定义分类实验。例如,用户可以通过选择与分类平台系统对接的数据源中的至少一个并定义工作流配置来定义输入数据空间,该工作流配置包括连接多个变换块以表示实验工作流的有向图(DG)。 DG可以指定如何将每个转换块的一个或多个输出馈送到一个或多个其他转换块中。 DG可以由各种类型的计算平台执行。分类平台系统可以根据输入数据空间和工作流程配置来安排要在分布式计算平台上执行的实验工作流程。

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