ROOT Version: 6.22/06
Compiler: Not Provided
Dear ROOT community,
Hello! This is my first post here.
I’m attempting to classify particles using the TMultiLayerPerceptron class given two root files. One file has certain cuts of one particle, and another has cuts of the other. I’m following an example very similar to the mlphiggs.C, but I’m quite confused, and have a few questions:
- I’m not quite sure what DrawNetwork does in the TMLPAnalyzer class. I am very new to machine learning, so this might be a silly question. What does it mean to have a distribution of the neural network?
- Let’s say I wanted to classify which particle was which. I’ve been browsing the TMultiLayerPerceptron class and TMLPAnalyzer documentation, and am quite confused on how to make a clear output that would tell me the probability of the output being a certain particle dependent on the event.
That’s all my concerns! Thank you in advance!