Removes rows containing missing data, and discretizes the data set using Minimum Description Length Partitioning (MDLP).
Data frame, where the last column must be the class variable.
Number of data frame rows to use as the training set - the rest are used for the test set. If NULL, all rows are used for training, and there is no test set (default=NULL).
Label that denotes missing values in your data frame (default='?').
A discretized data set:
Matrix containing the training data.
Vector containing the class labels for the training data.
Matrix containing the test data (optional).
Vector containing the class labels for the test data (optional).
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