alt approach to training

UCISequenceClassificationExampleToo_1.java

        // ----- Train the network, evaluating the test set performance at each epoch -----
        int nEpochs = 400;

        for (int i = 0; i < nEpochs; i++) {
            net.fit(trainData);
            trainData.reset();
        }

        //Evaluate on the test set:
        List<String> labels = new ArrayList<>();
        List<Integer> keys = new ArrayList(classifiers.keySet());
        Collections.sort(keys);
        for(Integer i:keys){
            labels.add(classifiers.get(i));
        }

        Evaluation evaluation = net.evaluate(testData, labels);

        String str = "Test set evaluation at epoch %d: Accuracy = %.2f, F1 = %.2f";
        log.info(String.format(str, nEpochs, evaluation.accuracy(), evaluation.f1()));
        testData.reset();