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unit: def example_run_training_pipeline()
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id: 2
unit: def example_run_inference_pipeline()
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id: 3
unit: def main()
file: modules/data/src/preprocessing.py
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id: 4
unit: def example_run_monitor_pipeline()
file: modules/monitoring/monitor_pipeline_run.py
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size: 38 LOC
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number of parameters: 3

id: 5
unit: def psi()
file: src/mlmax/monitoring.py
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id: 6
unit: def main()
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id: 7
unit: def example_run_data_pipeline()
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id: 8
unit: def get_latest_models()
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id: 9
unit: def fit()
file: src/mlmax/preprocessing.py
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id: 10
unit: def main()
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id: 11
unit: def generate_statistic()
file: src/mlmax/monitoring.py
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id: 12
unit: def parse_arg()
file: src/mlmax/monitoring.py
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id: 13
unit: def __init__()
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unit: def __init__()
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id: 15
unit: def processing()
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unit: def example_create_data_pipeline()
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id: 17
unit: def __init__()
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id: 18
unit: def read_data()
file: src/mlmax/preprocessing.py
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id: 19
unit: def transform()
file: src/mlmax/preprocessing.py
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id: 20
unit: def read_data()
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id: 21
unit: def evaluate()
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id: 22
unit: def train()
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id: 23
unit: def get_num_distribution()
file: src/mlmax/monitoring.py
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id: 24
unit: def example_create_training_pipeline()
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id: 25
unit: def example_create_inference_pipeline()
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id: 26
unit: def example_create_data_pipeline()
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id: 27
unit: def __init__()
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id: 28
unit: def get_dataframe_stats()
file: src/mlmax/monitoring.py
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id: 29
unit: def get_psi_score()
file: src/mlmax/monitoring.py
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id: 30
unit: def parse_arg()
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id: 31
unit: def __init__()
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id: 32
unit: def evaluate()
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id: 33
unit: def parse_arg()
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id: 34
unit: def split_data()
file: src/mlmax/preprocessing.py
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id: 35
unit: def parse_arg()
file: src/mlmax/preprocessing.py
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id: 36
unit: def split_data()
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id: 37
unit: def model()
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id: 38
unit: def load_model()
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id: 39
unit: def load_model()
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id: 40
unit: def get_expected_model()
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id: 41
unit: def bt()
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size: 8 LOC
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number of parameters: 1

id: 42
unit: def create_monitor_pipeline()
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size: 8 LOC
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id: 43
unit: def define_monitor_pipeline()
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id: 44
unit: def read_features()
file: src/mlmax/evaluation.py
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id: 45
unit: def get_existing_inference_pipeline()
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id: 46
unit: def get_existing_training_pipeline()
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id: 47
unit: def vpc_config()
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id: 48
unit: def main()
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id: 49
unit: def parse_arg()
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unit: def define_training_pipeline()
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unit: def define_inference_pipeline()
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id: 52
unit: def create_training_pipeline()
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unit: def create_inference_pipeline()
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id: 54
unit: def tags()
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unit: def create_data_pipeline()
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unit: def define_data_pipeline()
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id: 57
unit: def read_xy()
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id: 58
unit: def train()
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id: 59
unit: def load_test_input()
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id: 60
unit: def main()
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id: 61
unit: def write_json()
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id: 62
unit: def get_cols_types()
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id: 63
unit: def get_cat_counts()
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id: 64
unit: def calculate_psi()
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id: 65
unit: def main()
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unit: def get_existing_monitor_pipeline()
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id: 67
unit: def get_existing_data_pipeline()
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id: 68
unit: def read_processed_data()
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id: 69
unit: def save_model()
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id: 70
unit: def write_data()
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id: 71
unit: def write_data()
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id: 72
unit: def write_dataframe()
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id: 73
unit: def read_json()
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id: 74
unit: def generate_psi()
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id: 75
unit: def format_template_str()
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unit: def format_template_str()
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id: 77
unit: def endslash()
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unit: def format_template_str()
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unit: def format_template_str()
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id: 80
unit: def read()
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unit: def __init__()
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unit: def tags()
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unit: def train()
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unit: def model()
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unit: def bt()
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unit: def processing()
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