id: 1
unit: def get_pipeline()
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end line: 0
size: 166 LOC
McCabe index: 8
number of parameters: 7

id: 2
unit: def run_model_monitor_job_processor()
file: 04_deploy_model/monitoringjob_utils.py
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end line: 0
size: 53 LOC
McCabe index: 3
number of parameters: 11

id: 3
unit: def main()
file: 03_train_model/source_dir/training_debug.py
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end line: 0
size: 44 LOC
McCabe index: 1
number of parameters: 0

id: 4
unit: def main()
file: 08_projects/modelbuild/pipelines/endtoendmlsm/train/train.py
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end line: 0
size: 40 LOC
McCabe index: 1
number of parameters: 0

id: 5
unit: def main()
file: 03_train_model/source_dir/training.py
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end line: 0
size: 40 LOC
McCabe index: 1
number of parameters: 0

id: 6
unit: def get_model_monitor_container_uri()
file: 04_deploy_model/monitoringjob_utils.py
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end line: 0
size: 24 LOC
McCabe index: 1
number of parameters: 1

id: 7
unit: def cleanup_glue_resources()
file: 02_data_exploration_and_feature_eng/notebook_utilities.py
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end line: 0
size: 24 LOC
McCabe index: 8
number of parameters: 0

id: 8
unit: def parse_args()
file: 08_projects/modelbuild/pipelines/endtoendmlsm/train/train.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 0

id: 9
unit: def output_fn()
file: 08_projects/modelbuild/pipelines/endtoendmlsm/deploy/xgboost/inference.py
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end line: 0
size: 14 LOC
McCabe index: 5
number of parameters: 2

id: 10
unit: def parse_args()
file: 03_train_model/source_dir/training_debug.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 0

id: 11
unit: def parse_args()
file: 03_train_model/source_dir/training.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 0

id: 12
unit: def output_fn()
file: 04_deploy_model/xgboost_source_dir/inference.py
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end line: 0
size: 14 LOC
McCabe index: 5
number of parameters: 2

id: 13
unit: def output_fn()
file: 08_projects/modelbuild/pipelines/endtoendmlsm/deploy/sklearn/inference.py
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size: 11 LOC
McCabe index: 4
number of parameters: 2

id: 14
unit: def get_pipeline_custom_tags()
file: 08_projects/modelbuild/pipelines/endtoendmlsm/workflow.py
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end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 3

id: 15
unit: def output_fn()
file: 04_deploy_model/sklearn_source_dir/inference.py
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end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 2

id: 16
unit: def get_session()
file: 08_projects/modelbuild/pipelines/endtoendmlsm/workflow.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 2

id: 17
unit: def input_fn()
file: 08_projects/modelbuild/pipelines/endtoendmlsm/deploy/sklearn/inference.py
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size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 18
unit: def input_fn()
file: 04_deploy_model/sklearn_source_dir/inference.py
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size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 19
unit: def input_fn()
file: 08_projects/modelbuild/pipelines/endtoendmlsm/deploy/xgboost/inference.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 20
unit: def get_latest_training_job_name()
file: 04_deploy_model/notebook_utilities.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 21
unit: def input_fn()
file: 04_deploy_model/xgboost_source_dir/inference.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 22
unit: def run_pipeline()
file: 08_projects/modelbuild/pipelines/endtoendmlsm/workflow.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 23
unit: def get_training_job_s3_model_artifacts()
file: 04_deploy_model/notebook_utilities.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 24
unit: def model_fn()
file: 08_projects/modelbuild/pipelines/endtoendmlsm/deploy/xgboost/inference.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 25
unit: def get_sagemaker_client()
file: 08_projects/modelbuild/pipelines/endtoendmlsm/workflow.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 26
unit: def model_fn()
file: 04_deploy_model/xgboost_source_dir/inference.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 27
unit: def predict_fn()
file: 08_projects/modelbuild/pipelines/endtoendmlsm/deploy/sklearn/inference.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 28
unit: def model_fn()
file: 08_projects/modelbuild/pipelines/endtoendmlsm/deploy/sklearn/inference.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 29
unit: def predict_fn()
file: 04_deploy_model/sklearn_source_dir/inference.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 30
unit: def model_fn()
file: 04_deploy_model/sklearn_source_dir/inference.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 31
unit: def get_file_name()
file: 04_deploy_model/monitoringjob_utils.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 32
unit: def postprocess_handler()
file: 04_deploy_model/postprocessor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0