Interface for the data splitter.
Class that splits a dataset using a cross validation technique (every interaction in the data only appears once in each test split).
Class that splits a dataset randomly.
Main class that parses a data set and splits it according to a property file.
Class that splits a dataset according to some properties.
Splitter that takes into account the timestamps in the data (older interactions are kept only in the training set).
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