Trains a Weka model using functionality of Fijis Trainable Weka Segmentation plugin.
It takes the given Results Table, sorts its columns alphabetically as extracted features (rows correspond to feature vectors) and a given column name containing the ground truth to train a Weka model. This model will be saved to disc. The given groundTruth column is supposed to be numeric with values 1 represent class 1, value 2 represent class 2 and so on. Value 0 will be ignored for training.
Default values for options are:
Ext.CLIJx_trainWekaFromTable(String groundTruthColumnName, String saveModelFilename, Number trees, Number features, Number maxDepth);