ALeRT v2.0

Release of the updated ALeRT package. This version includes a revised version of three sampling algorithms, namely Random, GSx (Greedy Sampling on the inputs), and Decision Tree guided sampling. Preliminary scripts have been included to automate the run_augment script, which consists of re-training the selected ML model with a user defined number of new sampled points from a user-defined sampling method, and evaluate their performance on the testing data sets. PCA functionality has not been tested in the new version, but remains with its original implementation prior to adding the Active Learning sampling framework.