id: 1
unit: def train_model()
file: train/train.py
start line: 0
end line: 0
size: 19 LOC
McCabe index: 4
number of parameters: 2

id: 2
unit: def define_network()
file: train/CustomModel.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 1

id: 3
unit: def cleanup()
file: inference/etl.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 2

id: 4
unit: def input_handler()
file: inference/inference.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 6
number of parameters: 2

id: 5
unit: def read_data()
file: preprocess/input_data_etl.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 1

id: 6
unit: def save_tokenizer()
file: train/train.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 7
unit: def npy_to_s3()
file: preprocess/input_data_etl.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 8
unit: def call()
file: train/CustomModel.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 9
unit: def update_state()
file: train/CustomModel.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 10
unit: def build()
file: train/CustomModel.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 11
unit: def output_handler()
file: inference/inference.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 12
unit: def fitandtokenize()
file: inference/etl.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 13
unit: def parse_args()
file: train/train.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 0

id: 14
unit: def get_tokenizer()
file: inference/etl.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 15
unit: def get_word_index()
file: inference/etl.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 16
unit: def load_training_data()
file: train/train.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 17
unit: def __init__()
file: train/CustomModel.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 18
unit: def __init__()
file: train/CustomModel.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 19
unit: def tokenize()
file: inference/etl.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 20
unit: def save_model()
file: train/train.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 21
unit: def reset_states()
file: train/CustomModel.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 22
unit: def result()
file: train/CustomModel.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1