GBM多项式分布，如何使用predict()获取预测类? [英] GBM multinomial distribution, how to use predict() to get predicted class?

问题描述

我正在使用R中gbm包中的多项式分布.当我使用predict函数时，会得到一系列值:

I am using the multinomial distribution from the gbm package in R. When I use the predict function, I get a series of values:

5.086328 -4.738346 -8.492738 -5.980720 -4.351102 -4.738044 -3.220387 -4.732654

但是我想获得每个班级发生的概率.我如何找回概率?谢谢.

but I want to get the probability of each class occurring. How do I recover the probabilities? Thank You.

推荐答案

看看?predict.gbm，您将看到该函数有一个类型"参数.试用predict(<gbm object>, <new data>, type="response").

Take a look at ?predict.gbm, you'll see that there is a "type" parameter to the function. Try out predict(<gbm object>, <new data>, type="response").

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