tensorflow / model-analysis
Conditional Complexity

The distribution of complexity of units (measured with McCabe index).

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 2,331 units with 26,074 lines of code in units (60.9% of code).
    • 0 very complex units (0 lines of code)
    • 9 complex units (817 lines of code)
    • 84 medium complex units (3,577 lines of code)
    • 201 simple units (4,493 lines of code)
    • 2,037 very simple units (17,187 lines of code)
0% | 3% | 13% | 17% | 65%
Legend:
51+
26-50
11-25
6-10
1-5
Alternative Visuals
Conditional Complexity per Extension
51+
26-50
11-25
6-10
1-5
py0% | 5% | 15% | 18% | 61%
js0% | <1% | 12% | 16% | 71%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
tensorflow_model_analysis/metrics0% | 7% | 13% | 17% | 61%
tensorflow_model_analysis/writers0% | 42% | 0% | 12% | 44%
tensorflow_model_analysis/api0% | 16% | 20% | 19% | 42%
tensorflow_model_analysis/extractors0% | 12% | 24% | 18% | 44%
tensorflow_model_analysis/utils0% | 5% | 36% | 20% | 36%
tensorflow_model_analysis/static0% | <1% | 15% | 14% | 68%
tensorflow_model_analysis/frontend0% | 0% | 8% | 16% | 74%
tensorflow_model_analysis/addons0% | 0% | 13% | 18% | 68%
tensorflow_model_analysis/eval_saved_model0% | 0% | 9% | 14% | 75%
tensorflow_model_analysis/evaluators0% | 0% | 6% | 26% | 66%
tensorflow_model_analysis/post_export_metrics0% | 0% | 9% | 11% | 79%
tensorflow_model_analysis/contrib0% | 0% | 36% | 0% | 63%
tensorflow_model_analysis/slicer0% | 0% | 20% | 23% | 55%
ROOT0% | 0% | 16% | 51% | 32%
tensorflow_model_analysis/tools0% | 0% | 33% | 0% | 66%
tensorflow_model_analysis/view0% | 0% | 0% | 40% | 59%
tensorflow_model_analysis/model_agnostic_eval0% | 0% | 0% | 34% | 65%
tensorflow_model_analysis/eval_metrics_graph0% | 0% | 0% | 16% | 83%
tensorflow_model_analysis0% | 0% | 0% | 26% | 73%
tensorflow_model_analysis/notebook0% | 0% | 0% | 0% | 100%
tensorflow_model_analysis/experimental0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 20 most complex units
Unit# linesMcCabe index# params
def binary_confusion_matrices()
in tensorflow_model_analysis/metrics/binary_confusion_matrices.py
137 48 20
def _process_tf_metrics_specs()
in tensorflow_model_analysis/metrics/metric_specs.py
91 39 3
def get_feature_values_for_model_spec_field()
in tensorflow_model_analysis/utils/model_util.py
64 34 5
function compareAscending()
in tensorflow_model_analysis/static/index.js
27 32 2
def default_extractors()
in tensorflow_model_analysis/api/model_eval_lib.py
121 32 7
def _process_tfma_metrics_specs()
in tensorflow_model_analysis/metrics/metric_specs.py
59 28 4
def _WriteMetricsPlotsAndValidations()
in tensorflow_model_analysis/writers/metrics_plots_and_validations_writer.py
139 27 11
def _batch_reducible_process()
in tensorflow_model_analysis/extractors/tfjs_predict_extractor.py
97 27 2
def _wrap_confusion_matrix_metric()
in tensorflow_model_analysis/metrics/tf_metric_wrapper.py
82 26 9
function equalObjects()
in tensorflow_model_analysis/static/index.js
57 25 6
def merge_extracts()
in tensorflow_model_analysis/utils/util.py
47 25 1
function arrayLikeKeys()
in tensorflow_model_analysis/static/index.js
25 24 2
function baseClone()
in tensorflow_model_analysis/static/index.js
46 24 6
function baseIsEqualDeep()
in tensorflow_model_analysis/static/index.js
39 23 6
function createWrap()
in tensorflow_model_analysis/static/index.js
49 23 8
def predict_list()
in tensorflow_model_analysis/eval_saved_model/load.py
57 23 2
function baseSortedIndexBy()
in tensorflow_model_analysis/static/index.js
39 22 4
function createFlow()
in tensorflow_model_analysis/static/index.js
48 22 1
function equalByTag()
in tensorflow_model_analysis/static/index.js
52 22 7
function mergeData()
in tensorflow_model_analysis/static/index.js
42 22 2