Python utils.read_data() Examples

The following are 3 code examples of utils.read_data(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module utils , or try the search function .
Example #1
Source File: main.py    From IAN with MIT License 6 votes vote down vote up 
def main(_):
    start_time = time.time()

    print('Loading data info ...')
    word2id, FLAGS.max_aspect_len, FLAGS.max_context_len = get_data_info(dataset, pre_processed)

    print('Loading training data and testing data ...')
    train_data = read_data(word2id, FLAGS.max_aspect_len, FLAGS.max_context_len, dataset + 'train', pre_processed)
    test_data = read_data(word2id, FLAGS.max_aspect_len, FLAGS.max_context_len, dataset + 'test', pre_processed)

    print('Loading pre-trained word vectors ...')
    FLAGS.embedding_matrix = load_word_embeddings(embedding_file_name, FLAGS.embedding_dim, word2id)

    model = IAN(FLAGS)
    run(model, train_data, test_data)

    end_time = time.time()
    print('Time Costing: %s' % (end_time - start_time))
Example #2
Source File: test.py    From next-prediction with Apache License 2.0 5 votes vote down vote up 
def main(args):
  """Run testing."""
  test_data = utils.read_data(args, "test")
  print("total test samples:%s" % test_data.num_examples)

  if args.random_other:
    print("warning, testing mode with 'random_other' will result in "
          "different results every run...")

  model = models.get_model(args, gpuid=args.gpuid)
  tfconfig = tf.ConfigProto(allow_soft_placement=True)
  tfconfig.gpu_options.allow_growth = True
  tfconfig.gpu_options.visible_device_list = "%s" % (
      ",".join(["%s" % i for i in [args.gpuid]]))

  with tf.Session(config=tfconfig) as sess:
    utils.initialize(load=True, load_best=args.load_best,
                     args=args, sess=sess)

    # load the graph and variables
    tester = models.Tester(model, args, sess)

    perf = utils.evaluate(test_data, args, sess, tester)

  print("performance:")
  numbers = []
  for k in sorted(perf.keys()):
    print("%s, %s" % (k, perf[k]))
    numbers.append("%s" % perf[k])
  print(" ".join(sorted(perf.keys())))
  print(" ".join(numbers))
Example #3
Source File: main.py    From RAM with MIT License 5 votes vote down vote up 
def main(_):
    print('Loading data info ...')
    FLAGS.word2id, FLAGS.max_sentence_len, FLAGS.max_aspect_len = get_data_info(FLAGS.train_fname, FLAGS.test_fname, FLAGS.data_info, FLAGS.pre_processed)

    print('Loading training data and testing data ...')
    train_data = read_data(FLAGS.train_fname, FLAGS.word2id, FLAGS.max_sentence_len, FLAGS.max_aspect_len, FLAGS.train_data, FLAGS.pre_processed)
    test_data = read_data(FLAGS.test_fname, FLAGS.word2id, FLAGS.max_sentence_len,  FLAGS.max_aspect_len, FLAGS.test_data, FLAGS.pre_processed)

    print('Loading pre-trained word vectors ...')
    FLAGS.word2vec = load_word_embeddings(FLAGS.embedding_fname, FLAGS.embedding_dim, FLAGS.word2id)

    with tf.Session() as sess:
        model = RAM(FLAGS, sess)
        model.build_model()
        model.run(train_data, test_data)