Flexible Web service infrastructure for the development and deployment of predictive models.
Flexible Web service infrastructure for the development and deployment of predictive models.
复制标题
用于开发和部署预测模型的灵活的 Web 服务基础设施。
DOI：
10.1021/ci700188u
复制
发表时间：
2008
影响因子：
5.6
通讯作者：
Guha,Rajarshi
中科院分区：
文献类型：
--
作者：
Guha,Rajarshi
预测统计模型的开发是药物设计领域的一项常见任务。开发此类模型的过程涉及两个主要步骤： 构建模型，然后部署模型。传统上，此类模型是使用网页界面部署的。这种方法限制用户只能使用指定的网页，而以其他方式使用模型可能会很麻烦。在本文中，我们提出了一种灵活且可通用的预测模型部署方法，该方法基于使用 R 的 Web 服务基础设施。所描述的基础设施允许人们使用从网页到工作流工具等各种方法来访问这些模型的功能。我们通过为两个数据集开发并随后部署随机森林模型来强调该基础设施的优势。
The development of predictive statistical models is a common task in the field of drug design. The process of developing such models involves two main steps: building the model and then deploying the model. Traditionally such models have been deployed using Web page interfaces. This approach restricts the user to using the specified Web page, and using the model in other ways can be cumbersome. In this paper we present a flexible and generalizable approach to the deployment of predictive models, based on a Web service infrastructure using R. The infrastructure described allows one to access the functionality of these models using a variety of approaches ranging from Web pages to workflow tools. We highlight the advantages of this infrastructure by developing and subsequently deploying random forest models for two data sets.