RcppShark 随机森林示例抛出有关随机数生成器的异常

Question

我遵循了这个例子：

https://www.2021.ai/randsharkmachinelearning/

当运行这个命令在 R:

sharkFit <- SharkRFTrain(X, Y, nTrees = 100)

我得到：

Error in SharkRFTrain(X, Y, nTrees = 100) : 
  Should not call this. Fix the random numbers generator if you need this. 478

此 "cpp" 行引发此异常：

trainer.train(model, trainData);

我怀疑原因写在这里：

https://github.com/aydindemircioglu/RcppShark#notes

The random number generator was replaced, as R packages must use the random generator from R and not the C/C++ internal one. Thereffore, a direct comparison of results of algorithms that depend on (pseudo) random numbers cannot be done.

有没有办法缓解这种情况？

尝试了两个 R 版本：3.4.1、3.3.2

Answer 1

我对此进行了调查，并能够在一定程度上缩小范围：

此处产生错误信息：https://github.com/aydindemircioglu/RcppShark/blob/master/src/shark/Rng/Runif.h#L71
调用代码在这里：https://github.com/aydindemircioglu/RcppShark/blob/master/src/src/Algorithms/RFTrainer.cpp#L178

由于我无法修复它，我在这里打开了一个问题：https://github.com/aydindemircioglu/RcppShark/issues/1

RcppShark 随机森林示例抛出有关随机数生成器的异常

RcppShark Random Forest example throws exception about the random number generator

c++

r

machine-learning

random-forest

shark-ml