This folder contains code for preparing the data: creating labels, splitting into training/validation/testing sets, etc.
convertAllLabels: converts all csv labels into mat files containing row and image label vectors.createRowLabelVectors: converts csv labels into row label vectors.createImageLabelVectors: converts csv labels into image label vectors.combineData: base function to combine data from multiple folders into one file.combineDataForTrainingTesting: combines all June data into a June file, and all July data into a July file.splitData: splits the preprocessed data files into training, validation, and testing sets.prepareFeaturesAndLabelsForPython: converts the training features and labels into a format that can be used in Python for computing mutual information.