file_names = ['a.csv','b.csv']
scores = [1,2]
def parse_event(line):
  time = get_time(line)
  space = get_space(line)
  return (time, space)
samples = file_names.map(lambda path: [parse_event(line) for line in lines(path)])
for sample_trace, score in zip(samples, scores):
  model.fit(input_sequence=sample_trace, expected_output=score)