This project forked from dlersch/clas12pid
Date: 10/23/2017
Basic codes, that allow to read in .hipo-files, create data-sets (json-files at this stage) and train or use different classifiers. The following classifiers are implemented:
i) Gradient Boosted Decision Tree ii) MultilayerPerceptron (aka Neural network) iii) SVM iv) kMeans-Clustering
The classifier outputs are translated to continuous probability distributions, which allow for a detailed inspection of the ROC-curve.
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