Package org.deeplearning4j.datasets.iterator.file

Class Summary

Class	Description
BaseFileIterator<T,P>	Base class for loading DataSet objects from file
FileDataSetIterator	Iterate over a directory (and optionally subdirectories) containing a number of DataSet objects that have previously been saved to files with DataSet.save(File). This iterator supports the following (optional) features, depending on the constructor used: - Recursive listing of all files (i.e., include files in subdirectories) - Filtering based on a set of file extensions (if null, no filtering - assume all files are saved DataSet objects) - Randomization of iteration order (default enabled, if a Random instance is provided - Combining and splitting of DataSets (disabled by default, or if batchSize == -1.
FileMultiDataSetIterator	Iterate over a directory (and optionally subdirectories) containing a number of MultiDataSet objects that have previously been saved to files with MultiDataSet.save(File). This iterator supports the following (optional) features, depending on the constructor used: - Recursive listing of all files (i.e., include files in subdirectories) - Filtering based on a set of file extensions (if null, no filtering - assume all files are saved MultiDataSet objects) - Randomization of iteration order (default enabled, if a Random instance is provided - Combining and splitting of MultiDataSets (disabled by default, or if batchSize == -1.