apache / dolphinscheduler-mlflowConditional Complexity

Intro

Conditional complexity (also called cyclomatic complexity) is a term used to measure the complexity of software. The term refers to the number of possible paths through a program function. A higher value ofter means higher maintenance and testing costs (infosecinstitute.com).
Conditional complexity is calculated by counting all conditions in the program that can affect the execution path (e.g. if statement, loops, switches, and/or operators, try and catch blocks...).
Conditional complexity is measured at the unit level (methods, functions...).
Units are classified in four categories based on the measured McCabe index: 1-5 (simple units), 6-10 (medium complex units), 11-25 (complex units), 26+ (very complex units).

Learn more...

Conditional Complexity Overall

There are 61 units with 488 lines of code in units (59.5% of code).

0 very complex units (0 lines of code)
0 complex units (0 lines of code)
0 medium complex units (0 lines of code)
6 simple units (127 lines of code)
55 very simple units (361 lines of code)

Legend:

51+

26-50

11-25

6-10

1-5

Alternative Visuals

3D view of all units

Conditional Complexity per Extension

51+

26-50

11-25

6-10

1-5

Conditional Complexity per Logical Component

primary logical decomposition

51+

26-50

11-25

6-10

1-5

Most Complex Units

Top 50 most complex units

Unit	# lines	McCabe index	# params
def check_search_params() in Project-BasicAlgorithm/core/training/params.py	19	8	3
def create_model_version() in Project-BasicAlgorithm/train.py	32	8	4
def create_model_version() in Project-AutoML/train.py	32	8	4
def check_input_params() in Project-BasicAlgorithm/core/training/params.py	10	6	3
def parse_param_str() in Project-BasicAlgorithm/core/training/params.py	17	6	1
def parse_param_str() in Project-AutoML/automl/params.py	17	6	1
def get_training_func() in Project-BasicAlgorithm/train.py	12	5	1
def check_input_params() in Project-AutoML/automl/params.py	9	5	2
def match_type() in Project-BasicAlgorithm/core/training/params.py	10	4	2
def load_data() in Project-BasicAlgorithm/core/data.py	20	4	4
def load_data() in Project-AutoML/automl/data.py	20	4	4
def load_cls_default_params() in Project-BasicAlgorithm/core/training/params.py	6	3	1
def parse_file() in Project-BasicAlgorithm/core/training/params.py	7	3	1
def train_model() in Project-BasicAlgorithm/core/utils.py	13	3	4
def load_context() in Project-AutoML/predictor.py	8	3	2
def parse_file() in Project-AutoML/automl/params.py	7	3	1
def train_automl() in Project-AutoML/automl/mod/mod_autosklearn.py	22	3	4
def get_tool() in Project-AutoML/train.py	10	3	1
def main() in Project-BasicAlgorithm/train.py	20	2	8
def eval() in Project-AutoML/automl/mod/mod_autosklearn.py	10	2	4
def predict() in Project-AutoML/automl/mod/mod_autosklearn.py	6	2	2
def predict_classification() in Project-AutoML/automl/mod/mod_autosklearn.py	14	2	2
def convert_y() in Project-AutoML/automl/mod/mod_flaml.py	4	2	1
def eval_automl() in Project-AutoML/automl/mod/mod_flaml.py	8	2	4
def predict() in Project-AutoML/automl/mod/mod_flaml.py	6	2	2
def predict_classification() in Project-AutoML/automl/mod/mod_flaml.py	11	2	2
def eval_classification_metrics() in Project-BasicAlgorithm/core/metrics.py	5	1	2
def train_lightgbm() in Project-BasicAlgorithm/core/training/lightgbm.py	2	1	0
def __init__() in Project-BasicAlgorithm/core/training/params.py	2	1	0
def class_weight() in Project-BasicAlgorithm/core/training/params.py	6	1	1
def __str__() in Project-BasicAlgorithm/core/training/params.py	5	1	1
def load_cls_default_params() in Project-BasicAlgorithm/core/training/params.py	6	1	1
def load_cls_default_params() in Project-BasicAlgorithm/core/training/params.py	5	1	1
def load_cls_default_params() in Project-BasicAlgorithm/core/training/params.py	4	1	1
def train_lr() in Project-BasicAlgorithm/core/training/lr.py	2	1	0
def train_xgboost() in Project-BasicAlgorithm/core/training/xgboost.py	2	1	0
def train_svc() in Project-BasicAlgorithm/core/training/svm.py	2	1	0
def get_onehot_encoder() in Project-BasicAlgorithm/core/utils.py	2	1	2
def get_oridinal_encoder() in Project-BasicAlgorithm/core/utils.py	2	1	2
def load_split_csv_data() in Project-BasicAlgorithm/core/data.py	8	1	4
def load_csv_data() in Project-BasicAlgorithm/core/data.py	5	1	2
def predict() in Project-AutoML/predictor.py	3	1	3
def load_autosklearn_predictor() in Project-AutoML/predictor.py	4	1	2
def load_flaml_predictor() in Project-AutoML/predictor.py	4	1	2
def eval_classification_metrics() in Project-AutoML/automl/metrics.py	5	1	2
def __init__() in Project-AutoML/automl/params.py	7	1	4
def __str__() in Project-AutoML/automl/params.py	4	1	1
def save_automl() in Project-AutoML/automl/mod/mod_autosklearn.py	3	1	2
def load_automl() in Project-AutoML/automl/mod/mod_autosklearn.py	5	1	2
def train_automl() in Project-AutoML/automl/mod/mod_flaml.py	7	1	4