def get_data_sklearn_format(train_file_list, module):
    """
    Parses the specified data files and returns it in sklearn format.
    :param path:
    :return: tuple of:
                1) list of training sequences, each of which is a string
                2) list of gold standard labels, each of which is a tuple
                of strings, one for each token in the corresponding training
                sequence
    """
    data = list(readTrainingData(train_file_list, module.GROUP_LABEL))
    random.shuffle(data)

    x, y = [], []
    for raw_string, components in data:
        tokens, labels = zip(*components)
        x.append(raw_string)
        y.append(labels)
    return x, y
def get_data_sklearn_format ( train_file_list , module ) : data = list ( readTrainingData ( train_file_list , module . GROUP_LABEL ) ) random . shuffle ( data ) x , y = [ ] , [ ] for raw_string , components in data : tokens , labels = zip ( * components ) x . append ( raw_string ) y . append ( labels ) return x , y
Parses the specified data files and returns it in sklearn format.
    :param path:
    :return: tuple of:
                1) list of training sequences, each of which is a string
                2) list of gold standard labels, each of which is a tuple
                of strings, one for each token in the corresponding training
                sequence