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METHODS AND SYSTEMS FOR IDENTIFYING GAPS IN PREDICTIVE MODEL ONTOLOGY

机译:识别模型本体中的差距的方法和系统

摘要

Examples relate to systems for authoring and executing predictive models. A computer system includes a model development context analyzer configured to store a set of derived modeling knowledge generated at least in part from a plurality of modeling operations performed using at least a first predictive model authoring tool. The system is configured to, receive a modeling context indicating at least a modeling operation being performed, determine, from the modeling context, at least one element of an ontology, the ontology defining at least one attribute of a plurality of modeling operations, query the set of derived modeling knowledge using the at least one element of the ontology to identify at least one record of the set of derived modeling knowledge associated with the at least one element of the ontology, identify at least one suggested model parameter associated with the modeling context, and provide the at least one suggested model parameter.
机译:示例涉及用于创建和执行预测模型的系统。一种计算机系统,包括模型开发上下文分析器,该模型开发上下文分析器被配置为存储至少部分地由使用至少第一预测模型创作工具执行的多个建模操作生成的一组导出的建模知识。该系统被配置为接收指示至少正在执行的建模操作的建模上下文,从该建模上下文确定本体的至少一个元素,该本体定义多个建模操作的至少一个属性,查询该本体。一组使用本体论的至少一个元素的派生建模知识,以识别与本体论的至少一个元素相关联的一组派生建模知识的至少一条记录,标识至少一个与建模上下文相关联的建议模型参数,并提供至少一个建议的模型参数。

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