aws / sagemaker-scikit-learn-extension
Unit Size

The distribution of size of units (measured in lines of code).

Intro
  • Unit size measurements show the distribution of size of units of code (methods, functions...).
  • Units are classified in four categories based on their size (lines of code): 1-20 (small units), 20-50 (medium size units), 51-100 (long units), 101+ (very long units).
  • You should aim at keeping units small (< 20 lines). Long units may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.
Learn more...
Unit Size Overall
  • There are 207 units with 1,519 lines of code in units (75.9% of code).
    • 0 very long units (0 lines of code)
    • 0 long units (0 lines of code)
    • 16 medium size units (428 lines of code)
    • 31 small units (453 lines of code)
    • 160 very small units (638 lines of code)
0% | 0% | 28% | 29% | 42%
Legend:
101+
51-100
21-50
11-20
1-10
Unit Size per Extension
101+
51-100
21-50
11-20
1-10
py0% | 0% | 28% | 29% | 42%
Unit Size per Logical Component
primary logical decomposition
101+
51-100
21-50
11-20
1-10
src/sagemaker_sklearn_extension/feature_extraction0% | 0% | 43% | 21% | 34%
src/sagemaker_sklearn_extension/preprocessing0% | 0% | 25% | 34% | 40%
src/sagemaker_sklearn_extension/externals0% | 0% | 24% | 22% | 53%
src/sagemaker_sklearn_extension/contrib/taei0% | 0% | 17% | 44% | 37%
src/sagemaker_sklearn_extension/decomposition0% | 0% | 69% | 0% | 30%
src/sagemaker_sklearn_extension/impute0% | 0% | 0% | 44% | 55%
ROOT0% | 0% | 0% | 0% | 100%
Alternative Visuals
Longest Units
Top 20 longest units
Unit# linesMcCabe index# params
def _fit_vectorizer()
in src/sagemaker_sklearn_extension/feature_extraction/text.py
 38 8 3
def _extract_tsfresh_features()
in src/sagemaker_sklearn_extension/feature_extraction/sequences.py
 38 10 2
def fit()
in src/sagemaker_sklearn_extension/preprocessing/encoders.py
 32 10 3
def __init__()
in src/sagemaker_sklearn_extension/externals/header.py
 31 10 3
def fit()
in src/sagemaker_sklearn_extension/preprocessing/encoders.py
 29 9 3
def _get_data()
in src/sagemaker_sklearn_extension/externals/read_data.py
 26 7 1
def __init__()
in src/sagemaker_sklearn_extension/contrib/taei/nn_utils.py
 25 10 5
def inverse_transform()
in src/sagemaker_sklearn_extension/preprocessing/encoders.py
 25 12 2
def fit()
in src/sagemaker_sklearn_extension/decomposition/robust_pca.py
 25 9 3
def _filter_features()
in src/sagemaker_sklearn_extension/feature_extraction/sequences.py
 25 5 4
def _convert_to_numeric()
in src/sagemaker_sklearn_extension/feature_extraction/sequences.py
 24 8 2
def _build_combinations()
in src/sagemaker_sklearn_extension/preprocessing/data.py
 23 13 3
def fit()
in src/sagemaker_sklearn_extension/feature_extraction/sequences.py
 23 4 3
def _add_batch()
in src/sagemaker_sklearn_extension/externals/read_data.py
 22 7 2
def resample()
in src/sagemaker_sklearn_extension/contrib/taei/latent_space_oversampler.py
 21 3 4
def __init__()
in src/sagemaker_sklearn_extension/feature_extraction/text.py
 21 1 7
def fit()
in src/sagemaker_sklearn_extension/contrib/taei/latent_space_oversampler.py
 20 2 5
def fit()
in src/sagemaker_sklearn_extension/preprocessing/base.py
 20 5 3
def decode_sample()
in src/sagemaker_sklearn_extension/contrib/taei/models.py
 19 7 2
def resample()
in src/sagemaker_sklearn_extension/contrib/taei/star_oversampler.py
 19 7 4