Java Deep Learning Cookbook

How to do it...

1. Categorize the sequence data programmatically:

// convert URI to string final String data = IOUtils.toString(new URL(url),"utf-8"); // Get sequences from the raw data final String[] sequences = data.split("\n"); final List<Pair<String,Integer>> contentAndLabels = new ArrayList<>(); int lineCount = 0; for(String sequence : sequences) { // Record each time step in new line sequence = sequence.replaceAll(" +","\n"); // Labels: first 100 examples (lines) are label 0, second 100 examples are label 1, and so on contentAndLabels.add(new Pair<>(sequence, lineCount++ / 100)); }

2. Store the features/labels in their corresponding directories by following the numbered format:

for(Pair<String,Integer> sequencePair : contentAndLabels) ...