Java Deep Learning Cookbook

How to do it...

1. Extract and load the data using FileLabelAwareIterator:

LabelAwareIterator labelAwareIterator = new FileLabelAwareIterator.Builder() .addSourceFolder(new ClassPathResource("label").getFile()).build();  

2. Create a tokenizer using TokenizerFactory:

TokenizerFactory tokenizerFactory = new DefaultTokenizerFactory();tokenizerFactory.setTokenPreProcessor(new CommonPreprocessor()); 

3. Create a ParagraphVector model definition:

ParagraphVectors paragraphVectors = new ParagraphVectors.Builder() .learningRate(learningRate) .minLearningRate(minLearningRate) .batchSize(batchSize) .epochs(epochs) .iterate(labelAwareIterator) .trainWordVectors(true) .tokenizerFactory(tokenizerFactory) .build(); 

4. Train ParagraphVectors by calling the ...