在python中应用PMML预测器模型 [英] Apply PMML predictor model in python

问题描述

Knime为我生成了一个 PMML 模型.目前，我想将此模型应用于python进程.正确的方法是什么?

Knime has generated for me a PMML model. At this time I want to apply this model to a python process. What is the right way to do this?

更深入:我开发了一个 django学生出勤系统.该应用程序已经非常成熟，以至于我有时间实施我很幸运"按钮来自动填写出勤表.这就是PMML的用武之地.Knime已经生成了一个PMML模型，该模型可以预测学生的出勤率.另外，感谢django如此有效率，以至于我为这项出色的工作付出了时间;)

More in depth: I develop a django student attendance system. The application is already so mature that I have time to implement the 'I'm feeling lucky' button to automatically fill an attendance form. Here is where PMML comes in. Knime has generated a PMML model that predicts student attendance. Also, thanks to django for being so productive that I time for this great work ;)

推荐答案

最后，我编写了自己的代码.自由地贡献或分叉它:

Finally I have wrote my own code. Be free to contribute or fork it:

https://github.com/ctrl-alt-d/lightpmmlpredictor

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