部署GBM模型C ++ |获得Predict.gbm工作的R之外 [英] Deploy GBM Model in C++ | Get Predict.gbm to work outside of R

问题描述

有一个GBM模型导出到C ++的方式。具体来说，我怎么调用predict.gbm功能，以取得新的数据集的R之外运行。

Is there a way to export a gbm model to C++. Specifically, how do I invoke the predict.gbm function to run outside of R in order to score new datasets.

我已出口的模型作为PMML文件，但我不能确定如何利用新的数据集将被关闭基于PMML分数。

I have exported the model as a PMML file but I am unsure as to how new datasets will be scores based off the PMML.

我是新来的R和花了很多的时间试图想出解决办法都无济于事，并欢迎任何线索

I am new to R and have spent a lot of hours trying to figure this out to no avail and will appreciate any leads

在此先感谢

推荐答案

下面，PMML不仅可以帮助你，如果你有一个基于C ++提供PMML评估引擎（或者，你可以使用C ++调用一个基于Java PMML评估引擎如 JPMML评估器库）。

Here, PMML only helps you if you have a C++ based PMML evaluation engine available (alternatively, you might use C++ to invoke a Java based PMML evaluation engine such as the JPMML-Evaluator library).

您可以转化GBM模型，以C ++源代码，后来上运行本地。翻译并不困难，因为GBM成员决策树可以被编码为简单的if-else语句。你可以看到它是如何在 JPMML-转换库（类组织实施。.jpmml.converter.GBMConverter ），并从那里

You could translate GBM model to C++ source code and run it "natively" later on. The translation is not difficult, because GBM member decision trees can be encoded as simple if-else statements. You can see how it's implemented in the JPMML-Converter library (class org.jpmml.converter.GBMConverter) and take it from there.

翻译到PMML：

Node node = new Node()
  .withPredicate($predicate)
  .withScore($score);

翻译为C / C ++ / C＃：

Translation to C/C++/C#:

if($predicate){
   return $score;
}

您可以在GBM数据结构，从研发使用的protobuf导出到C ++转换应用数据格式（如由RProtoBuf包实现）。再次，请参阅JPMML-转换器库是怎么做的。

You can export the GBM data structure from R to C++ conversion application using the ProtoBuf data format (as implemented by the RProtoBuf package). Again, please see how the JPMML-Converter library does it.

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