def run(sysargs):
if len(sysargs) < 1:
print("Insufficient input args.")
print("Usage:")
print("python lstm.py <input_file_path>")
else:
skip_train_flag = False
testbed = TestBed()
if (len(sysargs) == 2):
skip_train_flag = literal_eval(sysargs[1])
print("\nskip_train_flag:'" + str(skip_train_flag) + "'")
input_file_path = sysargs[0]
dr = DataReader()
dr.read_pkl_data_at_file_path(input_file_path)
sequences = dr.get_sequences()
labels = dr.get_labels()
if not skip_train_flag:
# train
testbed.init_model()
testbed.train(sequences, labels)
testbed.save_model()
else:
# skipping training part, load model
testbed.load_model()
metrics_names, score = testbed.test(sequences, labels)
print("metrics_names:")
print(metrics_names)
print("score=" + str(score))
