Java Deep Learning Cookbook

How to do it...

1. Create a SequenceRecordReader instance to extract and load features from the time series data:

SequenceRecordReader trainFeaturesSequenceReader = new CSVSequenceRecordReader(); trainFeaturesSequenceReader.initialize(new NumberedFileInputSplit(new File(trainfeatureDir).getAbsolutePath()+"/%d.csv",0,449));

2. Create a SequenceRecordReader instance to extract and load labels from the time series data:

SequenceRecordReader trainLabelsSequenceReader = new CSVSequenceRecordReader(); trainLabelsSequenceReader.initialize(new NumberedFileInputSplit(new File(trainlabelDir).getAbsolutePath()+"/%d.csv",0,449));

3. Create sequence readers for testing and evaluation:

SequenceRecordReader testFeaturesSequenceReader = new CSVSequenceRecordReader(); ...