Dear Sir,
I am working on a project using xgboost, which I have to use c++ code. Your idea is really awesome. Thank you! I trained a model(classification of 0 and 1) with a medical dataset and tested with a piece of specific sample. I'v got a negative result(0). I dumped the model and used your code to generate a cpp code. Then I got two possibilities of 0.44 and 0.55. The results seem not the same if I understand it correctly.
From what I know, the model is a number of trees. And the sample goes through them. Normally I will get only one number? How does it give me two numbers, and possibilities based on them?
best wishes,
Jako
Dear Sir,
I am working on a project using xgboost, which I have to use c++ code. Your idea is really awesome. Thank you! I trained a model(classification of 0 and 1) with a medical dataset and tested with a piece of specific sample. I'v got a negative result(0). I dumped the model and used your code to generate a cpp code. Then I got two possibilities of 0.44 and 0.55. The results seem not the same if I understand it correctly.
From what I know, the model is a number of trees. And the sample goes through them. Normally I will get only one number? How does it give me two numbers, and possibilities based on them?
best wishes,
Jako