id: 1
unit: def train()
file: code/cross_validation_with_hpo.py
start line: 0
end line: 0
size: 71 LOC
McCabe index: 5
number of parameters: 15

id: 2
unit: def train()
file: code/cv.py
start line: 0
end line: 0
size: 29 LOC
McCabe index: 2
number of parameters: 0

id: 3
unit: def fit_model()
file: code/cv.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 1
number of parameters: 8

id: 4
unit: def train()
file: code/scikit_learn_iris.py
start line: 0
end line: 0
size: 26 LOC
McCabe index: 8
number of parameters: 2

id: 5
unit: def save_kfold_datasets()
file: code/preprocessing.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 3

id: 6
unit: def monitor_training_jobs()
file: code/cv.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 5
number of parameters: 2

id: 7
unit: def evaluation()
file: code/cv.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 2

id: 8
unit: def evaluate()
file: code/scikit_learn_iris.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 9
unit: def save_all_datasets()
file: code/preprocessing.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 10
unit: def process()
file: code/preprocessing.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 11
unit: def model_fn()
file: code/scikit_learn_iris.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1