CasualMLFile Size
Intro
- File size measurements show the distribution of size of files.
- Files are classified in four categories based on their size (lines of code): 1-100 (very small files), 100-200 (small files), 200-500 (medium size files), 501-1000 (long files), 1001+ (very long files).
- It is a good practice to keep files small. Long files may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.
File Size Overall
- There are 40 files with 5,393 lines of code.
- 0 very long files (0 lines of code)
- 1 long files (895 lines of code)
- 8 medium size files (2,487 lines of code)
- 9 small files (1,315 lines of code)
- 22 very small files (696 lines of code)
Legend:
1001+
501-1000
201-500
101-200
1-100
File Size per Extension
Legend:
1001+
501-1000
201-500
101-200
1-100
File Size per Logical Decomposition
primary
Legend:
1001+
501-1000
201-500
101-200
1-100
Alternative Visuals
Longest Files (Top 40)
| File | # lines | # units |
|---|---|---|
| models.py in causalml/inference/tree |
895 | 25 |
| xlearner.py in causalml/inference/meta |
415 | 16 |
| rlearner.py in causalml/inference/meta |
401 | 18 |
| visualize.py in causalml/metrics |
381 | 20 |
| synthetic.py in causalml/dataset |
289 | 11 |
| sensitivity.py in causalml/metrics |
277 | 24 |
| tlearner.py in causalml/inference/meta |
248 | 17 |
| slearner.py in causalml/inference/meta |
240 | 20 |
| match.py in causalml |
236 | 10 |
| filters.py in causalml/feature_selection |
198 | 13 |
| unit_selection.py in causalml/optimize |
196 | 9 |
| utils.py in causalml/inference/tree |
178 | 5 |
| regression.py in causalml/dataset |
161 | 6 |
| plot.py in causalml/inference/tree |
156 | 2 |
| explainer.py in causalml/inference/meta |
115 | 11 |
| dragonnet.py in causalml/inference/nn |
106 | 7 |
| classification.py in causalml/dataset |
103 | 1 |
| tmle.py in causalml/inference/meta |
102 | 7 |
| propensity.py in causalml |
95 | 11 |
| features.py in causalml |
92 | 14 |
| utils.py in causalml/optimize |
91 | 3 |
| value_optimization.py in causalml/optimize |
82 | 5 |
| utils.py in causalml/inference/meta |
57 | 6 |
| utils.py in causalml/inference/nn |
55 | 9 |
| setup.py in null |
50 | - |
| regression.py in causalml/metrics |
42 | 6 |
| policylearner.py in causalml/optimize |
36 | 4 |
| iv_regression.py in causalml/inference/iv |
35 | 3 |
| __init__.py in causalml/dataset |
14 | - |
| classification.py in causalml/metrics |
11 | 2 |
| __init__.py in causalml |
10 | - |
| __init__.py in causalml/metrics |
7 | - |
| __init__.py in causalml/inference/tree |
5 | - |
| __init__.py in causalml/inference/meta |
5 | - |
| __init__.py in causalml/optimize |
4 | - |
| const.py in causalml/metrics |
1 | - |
| __init__.py in causalml/feature_selection |
1 | - |
| __init__.py in causalml/inference/nn |
1 | - |
| __init__.py in causalml/inference |
1 | - |
| __init__.py in causalml/inference/iv |
1 | - |
Files With Most Units (Top 28)
| File | # lines | # units |
|---|---|---|
| models.py in causalml/inference/tree |
895 | 25 |
| sensitivity.py in causalml/metrics |
277 | 24 |
| visualize.py in causalml/metrics |
381 | 20 |
| slearner.py in causalml/inference/meta |
240 | 20 |
| rlearner.py in causalml/inference/meta |
401 | 18 |
| tlearner.py in causalml/inference/meta |
248 | 17 |
| xlearner.py in causalml/inference/meta |
415 | 16 |
| features.py in causalml |
92 | 14 |
| filters.py in causalml/feature_selection |
198 | 13 |
| propensity.py in causalml |
95 | 11 |
| synthetic.py in causalml/dataset |
289 | 11 |
| explainer.py in causalml/inference/meta |
115 | 11 |
| match.py in causalml |
236 | 10 |
| unit_selection.py in causalml/optimize |
196 | 9 |
| utils.py in causalml/inference/nn |
55 | 9 |
| dragonnet.py in causalml/inference/nn |
106 | 7 |
| tmle.py in causalml/inference/meta |
102 | 7 |
| regression.py in causalml/metrics |
42 | 6 |
| regression.py in causalml/dataset |
161 | 6 |
| utils.py in causalml/inference/meta |
57 | 6 |
| value_optimization.py in causalml/optimize |
82 | 5 |
| utils.py in causalml/inference/tree |
178 | 5 |
| policylearner.py in causalml/optimize |
36 | 4 |
| utils.py in causalml/optimize |
91 | 3 |
| iv_regression.py in causalml/inference/iv |
35 | 3 |
| classification.py in causalml/metrics |
11 | 2 |
| plot.py in causalml/inference/tree |
156 | 2 |
| classification.py in causalml/dataset |
103 | 1 |