id: 1
unit: def do_learning()
file: src/minmaxML.py
start line: 0
end line: 0
size: 338 LOC
McCabe index: 55
number of parameters: 14

id: 2
unit: def do_pareto_plot()
file: src/plot_relaxed_pareto.py
start line: 0
end line: 0
size: 127 LOC
McCabe index: 34
number of parameters: 20

id: 3
unit: def get_dataset_features()
file: dataset_mapping.py
start line: 0
end line: 0
size: 114 LOC
McCabe index: 17
number of parameters: 1

id: 4
unit: def do_plotting()
file: src/plotting.py
start line: 0
end line: 0
size: 109 LOC
McCabe index: 38
number of parameters: 19

id: 5
unit: def setup_matrices()
file: src/setup_matrices.py
start line: 0
end line: 0
size: 73 LOC
McCabe index: 37
number of parameters: 11

id: 6
unit: def generate_synthetic_data()
file: src/generate_matrices.py
start line: 0
end line: 0
size: 55 LOC
McCabe index: 20
number of parameters: 17

id: 7
unit: def plot_trajectories_from_bonus_plot_data()
file: src/plot_relaxed_pareto.py
start line: 0
end line: 0
size: 53 LOC
McCabe index: 4
number of parameters: 9

id: 8
unit: def create_validation_split()
file: src/train_test_split.py
start line: 0
end line: 0
size: 42 LOC
McCabe index: 11
number of parameters: 5

id: 9
unit: def compute_model_errors()
file: src/minmaxML.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 14
number of parameters: 8

id: 10
unit: def determine_pareto_curve()
file: src/hull_to_pareto.py
start line: 0
end line: 0
size: 19 LOC
McCabe index: 8
number of parameters: 1

id: 11
unit: def write_params_to_s3()
file: src/write_params_to_file.py
start line: 0
end line: 0
size: 17 LOC
McCabe index: 1
number of parameters: 5

id: 12
unit: def save_dataset()
file: src/save_dataset.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 7
number of parameters: 8

id: 13
unit: def generate_random_intervals()
file: src/generate_matrices.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 7
number of parameters: 4

id: 14
unit: def setup_pos_neg_group_arrays()
file: src/minmaxML.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 3

id: 15
unit: def create_stacked_bonus_plots()
file: src/minmaxML.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 7

id: 16
unit: def fit()
file: src/torch_wrapper.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 6

id: 17
unit: def get_pareto()
file: src/plot_relaxed_pareto.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 2

id: 18
unit: def read_dataset_from_file()
file: src/read_file.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 2
number of parameters: 1

id: 19
unit: def generate_feature_matrix()
file: src/generate_matrices.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 14
number of parameters: 7

id: 20
unit: def create_bonus_plots()
file: src/minmaxML.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 6

id: 21
unit: def compute_highest_gamma()
file: src/minmaxML.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 3

id: 22
unit: def read_models_from_os()
file: src/save_models.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 1

id: 23
unit: def compute_mixture_pop_errors()
file: src/minmaxML.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 6
number of parameters: 2

id: 24
unit: def save_models_to_os()
file: src/save_models.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 5
number of parameters: 2

id: 25
unit: def compute_regularization_penalty()
file: src/minmaxML.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 3

id: 26
unit: def compute_mixture_group_errors()
file: src/minmaxML.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 5
number of parameters: 5

id: 27
unit: def save_plots_to_os()
file: src/save_plots.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 5
number of parameters: 4

id: 28
unit: def get_group_names_and_sizes_list()
file: src/minmaxML.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 29
unit: def write_params_to_os()
file: src/write_params_to_file.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 30
unit: def __init__()
file: src/torch_wrapper.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 4

id: 31
unit: def generate_column_from_distribution()
file: src/generate_matrices.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 2

id: 32
unit: def create_group_error_arrays()
file: src/minmaxML.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 3

id: 33
unit: def create_index_array()
file: src/minmaxML.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 34
unit: def extract_group_labels()
file: src/setup_matrices.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 35
unit: def compute_stacked_mixture_group_errors()
file: src/minmaxML.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 6

id: 36
unit: def rescale_feature_matrix()
file: src/minmaxML.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 37
unit: def fit()
file: src/paired_regression_classifier.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 4

id: 38
unit: def generate_group_features()
file: src/generate_matrices.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 39
unit: def update_group_errors()
file: src/minmaxML.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 7

id: 40
unit: def compute_logloss()
file: src/minmaxML.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 5
number of parameters: 3

id: 41
unit: def compute_classification_loss()
file: src/minmaxML.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 3

id: 42
unit: def forward()
file: src/torch_wrapper.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 43
unit: def __init__()
file: src/torch_wrapper.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 6

id: 44
unit: def predict_proba()
file: src/torch_wrapper.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 45
unit: def predict()
file: src/paired_regression_classifier.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 46
unit: def __init__()
file: src/paired_regression_classifier.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 47
unit: def encoding_category()
file: src/setup_credit_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 48
unit: def encoding_credit()
file: src/setup_credit_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 49
unit: def predict()
file: src/torch_wrapper.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2