Java: Data Science Made Easy

Building and training the network

The model is then created and initialized, and score iteration listeners are set up:

model = new MultiLayerNetwork(conf); model.init(); model.setListeners(Collections.singletonList(         (IterationListener) new ScoreIterationListener())); 

The model is trained using the fit method:

while (iterator.hasNext()) {     DataSet dataSet = iterator.next();     model.fit(new DataSet(dataSet.getFeatureMatrix(),              dataSet.getFeatureMatrix())); }