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unit: def get_processing_request()
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id: 2
unit: def create_baseline_step()
file: model/run_pipeline.py
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id: 3
unit: def lambda_handler()
file: api/pre_traffic_hook.py
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id: 4
unit: def lambda_handler()
file: custom_resource/sagemaker_create_experiment.py
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id: 5
unit: def lambda_handler()
file: api/post_traffic_hook.py
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id: 6
unit: def lambda_handler()
file: api/app.py
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number of parameters: 2

id: 7
unit: def lambda_handler()
file: custom_resource/sagemaker_query_drift.py
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end line: 0
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number of parameters: 2

id: 8
unit: def get_model_monitor_container_uri()
file: custom_resource/sagemaker_suggest_baseline.py
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McCabe index: 1
number of parameters: 1

id: 9
unit: def lambda_handler()
file: custom_resource/sagemaker_add_transform_header.py
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number of parameters: 2

id: 10
unit: def stop_processing_job()
file: custom_resource/sagemaker_suggest_baseline.py
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number of parameters: 1

id: 11
unit: def stop_training_job()
file: custom_resource/sagemaker_training_job.py
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number of parameters: 1

id: 12
unit: def is_training_job_ready()
file: custom_resource/sagemaker_training_job.py
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number of parameters: 1

id: 13
unit: def lambda_handler()
file: custom_resource/sagemaker_query_training.py
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id: 14
unit: def is_processing_job_ready()
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id: 15
unit: def get_dev_config()
file: model/run_pipeline.py
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id: 16
unit: def main()
file: model/run_pipeline.py
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McCabe index: 1
number of parameters: 0

id: 17
unit: def get_baseline_drift()
file: custom_resource/sagemaker_query_drift.py
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McCabe index: 5
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id: 18
unit: def create_experiment_step()
file: model/run_pipeline.py
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McCabe index: 1
number of parameters: 1

id: 19
unit: def create_graph()
file: model/run_pipeline.py
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id: 20
unit: def get_training_request()
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number of parameters: 1

id: 21
unit: def create_processing_job()
file: custom_resource/sagemaker_suggest_baseline.py
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number of parameters: 1

id: 22
unit: def get_pipeline_execution_id()
file: model/run_pipeline.py
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id: 23
unit: def create_training_job()
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id: 24
unit: def create_training_step()
file: model/run_pipeline.py
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McCabe index: 1
number of parameters: 0

id: 25
unit: def set_kernel_spec()
file: scripts/set_kernelspec.py
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id: 26
unit: def get_processing_job()
file: custom_resource/sagemaker_query_drift.py
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id: 27
unit: def get_pipeline_revisions()
file: model/run_pipeline.py
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id: 28
unit: def csv()
file: custom_resource/sagemaker_suggest_baseline.py
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McCabe index: 1
number of parameters: 2

id: 29
unit: def get_file_name()
file: custom_resource/sagemaker_suggest_baseline.py
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end line: 0
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McCabe index: 2
number of parameters: 1

id: 30
unit: def get_bucket_prefix()
file: api/post_traffic_hook.py
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end line: 0
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McCabe index: 2
number of parameters: 1

id: 31
unit: def get_s3_results_json()
file: custom_resource/sagemaker_query_drift.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 32
unit: def poll_create()
file: custom_resource/sagemaker_suggest_baseline.py
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end line: 0
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McCabe index: 1
number of parameters: 2

id: 33
unit: def poll_delete()
file: custom_resource/sagemaker_suggest_baseline.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 34
unit: def sagemaker_capture_json()
file: custom_resource/sagemaker_suggest_baseline.py
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size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 35
unit: def poll_create()
file: custom_resource/sagemaker_training_job.py
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McCabe index: 1
number of parameters: 2

id: 36
unit: def poll_delete()
file: custom_resource/sagemaker_training_job.py
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McCabe index: 1
number of parameters: 2

id: 37
unit: def delete_handler()
file: custom_resource/sagemaker_suggest_baseline.py
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end line: 0
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McCabe index: 1
number of parameters: 2

id: 38
unit: def delete_handler()
file: custom_resource/sagemaker_training_job.py
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McCabe index: 1
number of parameters: 2

id: 39
unit: def lambda_handler()
file: custom_resource/sagemaker_suggest_baseline.py
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end line: 0
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McCabe index: 1
number of parameters: 2

id: 40
unit: def create_handler()
file: custom_resource/sagemaker_suggest_baseline.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 41
unit: def get_processing_job_name()
file: custom_resource/sagemaker_suggest_baseline.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 42
unit: def json()
file: custom_resource/sagemaker_suggest_baseline.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 43
unit: def lambda_handler()
file: custom_resource/sagemaker_training_job.py
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McCabe index: 1
number of parameters: 2

id: 44
unit: def create_handler()
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McCabe index: 1
number of parameters: 2

id: 45
unit: def get_training_job_name()
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end line: 0
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McCabe index: 1
number of parameters: 1

id: 46
unit: def get_training_image()
file: model/run_pipeline.py
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McCabe index: 1
number of parameters: 1

id: 47
unit: def get_prd_config()
file: model/run_pipeline.py
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McCabe index: 1
number of parameters: 0