Uber / causalml
File Size

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

Intro
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File Size Overall
20% | 15% | 40% | 15% | 8%
Legend:
1001+
501-1000
201-500
101-200
1-100


explore: grouped by folders | grouped by size | sunburst | 3D view
File Size per Extension
1001+
501-1000
201-500
101-200
1-100
pyx62% | 18% | 13% | 3% | <1%
py0% | 14% | 61% | 13% | 9%
yml0% | 0% | 0% | 100% | 0%
pxd0% | 0% | 0% | 0% | 100%
toml0% | 0% | 0% | 0% | 100%
in0% | 0% | 0% | 0% | 100%
cfg0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
causalml22% | 16% | 43% | 9% | 7%
envs0% | 0% | 0% | 100% | 0%
ROOT0% | 0% | 0% | 0% | 100%
Longest Files (Top 50)
File# lines# units
uplift.pyx
in causalml/inference/tree
 1805 45
_tree.pyx
in causalml/inference/tree/_tree
 1062 28
_splitter.pyx
in causalml/inference/tree/_tree
 863 10
visualize.py
in causalml/metrics
 613 20
drivlearner.py
in causalml/inference/iv
 590 14
rlearner.py
in causalml/inference/meta
 457 12
synthetic.py
in causalml/dataset
 449 11
plot.py
in causalml/inference/tree
 434 8
xlearner.py
in causalml/inference/meta
 423 10
classification.py
in causalml/dataset
 397 13
sensitivity.py
in causalml/metrics
 374 24
filters.py
in causalml/feature_selection
 374 13
drlearner.py
in causalml/inference/meta
 344 8
_criterion.pyx
in causalml/inference/tree/causal
 314 -
match.py
in causalml
 310 10
_builder.pyx
in causalml/inference/tree/causal
 301 2
causalforest.py
in causalml/inference/tree/causal
 271 6
tlearner.py
in causalml/inference/meta
 266 11
slearner.py
in causalml/inference/meta
 233 14
causaltree.py
in causalml/inference/tree/causal
 220 10
utils.py
in causalml/inference/tree
 213 7
dragonnet.py
in causalml/inference/tf
 207 9
_tree.py
in causalml/inference/tree/causal
 199 3
base.py
in causalml/inference/meta
 195 12
_criterion.pyx
in causalml/inference/tree/_tree
 166 5
explainer.py
in causalml/inference/meta
 165 11
tmle.py
in causalml/inference/meta
 152 7
143 -
143 -
143 -
unit_selection.py
in causalml/optimize
 138 9
137 -
136 -
136 -
_classes.py
in causalml/inference/tree/_tree
 127 11
propensity.py
in causalml
 114 13
features.py
in causalml
 99 14
policylearner.py
in causalml/optimize
 98 7
regression.py
in causalml/dataset
 77 6
utils.py
in causalml/inference/meta
 72 7
64 -
pxd
_tree.pxd
in causalml/inference/tree/_tree
 64 -
cevae.py
in causalml/inference/nn
 64 4
utils.py
in causalml/inference/tf
 56 9
value_optimization.py
in causalml/optimize
 48 5
pxd
_utils.pxd
in causalml/inference/tree/_tree
 46 -
_utils.pyx
in causalml/inference/tree/_tree
 45 1
setup.py
in root
 44 -
regression.py
in causalml/metrics
 44 6
pxd
_splitter.pxd
in causalml/inference/tree/_tree
 43 -
Files With Most Units (Top 42)
File# lines# units
uplift.pyx
in causalml/inference/tree
 1805 45
_tree.pyx
in causalml/inference/tree/_tree
 1062 28
sensitivity.py
in causalml/metrics
 374 24
visualize.py
in causalml/metrics
 613 20
features.py
in causalml
 99 14
slearner.py
in causalml/inference/meta
 233 14
drivlearner.py
in causalml/inference/iv
 590 14
propensity.py
in causalml
 114 13
classification.py
in causalml/dataset
 397 13
filters.py
in causalml/feature_selection
 374 13
rlearner.py
in causalml/inference/meta
 457 12
base.py
in causalml/inference/meta
 195 12
synthetic.py
in causalml/dataset
 449 11
_classes.py
in causalml/inference/tree/_tree
 127 11
tlearner.py
in causalml/inference/meta
 266 11
explainer.py
in causalml/inference/meta
 165 11
_splitter.pyx
in causalml/inference/tree/_tree
 863 10
causaltree.py
in causalml/inference/tree/causal
 220 10
xlearner.py
in causalml/inference/meta
 423 10
match.py
in causalml
 310 10
unit_selection.py
in causalml/optimize
 138 9
utils.py
in causalml/inference/tf
 56 9
dragonnet.py
in causalml/inference/tf
 207 9
plot.py
in causalml/inference/tree
 434 8
drlearner.py
in causalml/inference/meta
 344 8
policylearner.py
in causalml/optimize
 98 7
utils.py
in causalml/inference/tree
 213 7
tmle.py
in causalml/inference/meta
 152 7
utils.py
in causalml/inference/meta
 72 7
regression.py
in causalml/metrics
 44 6
regression.py
in causalml/dataset
 77 6
causalforest.py
in causalml/inference/tree/causal
 271 6
value_optimization.py
in causalml/optimize
 48 5
_criterion.pyx
in causalml/inference/tree/_tree
 166 5
cevae.py
in causalml/inference/nn
 64 4
utils.py
in causalml/optimize
 37 3
_tree.py
in causalml/inference/tree/causal
 199 3
iv_regression.py
in causalml/inference/iv
 16 3
classification.py
in causalml/metrics
 13 2
_builder.pyx
in causalml/inference/tree/causal
 301 2
pns.py
in causalml/optimize
 35 1
_utils.pyx
in causalml/inference/tree/_tree
 45 1
Files With Long Lines (Top 2)

There are 2 files with lines longer than 120 characters. In total, there are 24 long lines.

File# lines# units# long lines
uplift.pyx
in causalml/inference/tree
 1805 45 23
filters.py
in causalml/feature_selection
 374 13 1
Correlations

File Size vs. Commits (all time): 72 points

causalml/dataset/synthetic.py x: 13 commits (all time) y: 449 lines of code pyproject.toml x: 17 commits (all time) y: 64 lines of code causalml/match.py x: 25 commits (all time) y: 310 lines of code causalml/metrics/__init__.py x: 20 commits (all time) y: 34 lines of code causalml/inference/tf/dragonnet.py x: 8 commits (all time) y: 207 lines of code causalml/feature_selection/filters.py x: 31 commits (all time) y: 374 lines of code causalml/inference/meta/explainer.py x: 31 commits (all time) y: 165 lines of code causalml/inference/tree/causal/_tree.py x: 9 commits (all time) y: 199 lines of code causalml/inference/tree/utils.py x: 14 commits (all time) y: 213 lines of code causalml/propensity.py x: 25 commits (all time) y: 114 lines of code causalml/metrics/visualize.py x: 30 commits (all time) y: 613 lines of code causalml/inference/meta/rlearner.py x: 68 commits (all time) y: 457 lines of code setup.py x: 39 commits (all time) y: 44 lines of code causalml/inference/tree/_tree/_tree.pyx x: 2 commits (all time) y: 1062 lines of code causalml/inference/tree/_tree/_utils.pxd x: 2 commits (all time) y: 46 lines of code causalml/inference/tree/causal/_builder.pxd x: 3 commits (all time) y: 3 lines of code causalml/inference/tree/causal/_builder.pyx x: 4 commits (all time) y: 301 lines of code causalml/dataset/__init__.py x: 8 commits (all time) y: 15 lines of code causalml/dataset/classification.py x: 11 commits (all time) y: 397 lines of code causalml/inference/tree/uplift.pyx x: 16 commits (all time) y: 1805 lines of code causalml/inference/tree/_tree/__init__.py x: 1 commits (all time) y: 1 lines of code causalml/inference/tree/_tree/_classes.py x: 1 commits (all time) y: 127 lines of code causalml/inference/tree/_tree/_criterion.pxd x: 1 commits (all time) y: 40 lines of code causalml/inference/tree/_tree/_criterion.pyx x: 1 commits (all time) y: 166 lines of code causalml/inference/tree/_tree/_splitter.pxd x: 1 commits (all time) y: 43 lines of code causalml/inference/tree/_tree/_splitter.pyx x: 1 commits (all time) y: 863 lines of code causalml/inference/tree/_tree/_tree.pxd x: 1 commits (all time) y: 64 lines of code causalml/inference/tree/causal/__init__.py x: 2 commits (all time) y: 1 lines of code causalml/inference/tree/causal/_criterion.pxd x: 4 commits (all time) y: 16 lines of code causalml/inference/tree/causal/_criterion.pyx x: 6 commits (all time) y: 314 lines of code causalml/inference/tree/causal/causalforest.py x: 7 commits (all time) y: 271 lines of code causalml/inference/tree/causal/causaltree.py x: 8 commits (all time) y: 220 lines of code causalml/dataset/regression.py x: 16 commits (all time) y: 77 lines of code envs/environment-py39.yml x: 3 commits (all time) y: 136 lines of code causalml/inference/iv/iv_regression.py x: 5 commits (all time) y: 16 lines of code causalml/inference/meta/base.py x: 11 commits (all time) y: 195 lines of code causalml/inference/meta/drlearner.py x: 12 commits (all time) y: 344 lines of code causalml/inference/meta/slearner.py x: 56 commits (all time) y: 233 lines of code causalml/inference/meta/tlearner.py x: 58 commits (all time) y: 266 lines of code causalml/inference/meta/tmle.py x: 14 commits (all time) y: 152 lines of code envs/environment-py38.yml x: 4 commits (all time) y: 136 lines of code causalml/__init__.py x: 42 commits (all time) y: 10 lines of code causalml/inference/iv/drivlearner.py x: 12 commits (all time) y: 590 lines of code causalml/inference/tree/plot.py x: 21 commits (all time) y: 434 lines of code causalml/optimize/value_optimization.py x: 8 commits (all time) y: 48 lines of code causalml/inference/meta/utils.py x: 23 commits (all time) y: 72 lines of code causalml/metrics/sensitivity.py x: 13 commits (all time) y: 374 lines of code causalml/features.py x: 13 commits (all time) y: 99 lines of code causalml/optimize/pns.py x: 5 commits (all time) y: 35 lines of code causalml/optimize/unit_selection.py x: 9 commits (all time) y: 138 lines of code causalml/inference/meta/xlearner.py x: 59 commits (all time) y: 423 lines of code causalml/inference/tree/__init__.py x: 14 commits (all time) y: 12 lines of code causalml/optimize/__init__.py x: 9 commits (all time) y: 5 lines of code causalml/feature_selection/__init__.py x: 5 commits (all time) y: 1 lines of code causalml/inference/meta/__init__.py x: 10 commits (all time) y: 12 lines of code causalml/inference/nn/cevae.py x: 5 commits (all time) y: 64 lines of code causalml/inference/tf/utils.py x: 4 commits (all time) y: 56 lines of code causalml/metrics/classification.py x: 12 commits (all time) y: 13 lines of code causalml/metrics/regression.py x: 12 commits (all time) y: 44 lines of code causalml/optimize/utils.py x: 4 commits (all time) y: 37 lines of code envs/environment-tf-py37.yml x: 1 commits (all time) y: 143 lines of code causalml/optimize/policylearner.py x: 7 commits (all time) y: 98 lines of code MANIFEST.in x: 7 commits (all time) y: 6 lines of code
1805.0
lines of code
  min: 1.0
  average: 190.89
  25th percentile: 20.5
  median: 106.5
  75th percentile: 257.75
  max: 1805.0
0 68.0
commits (all time)
min: 1.0 | average: 12.57 | 25th percentile: 3.0 | median: 8.0 | 75th percentile: 14.0 | max: 68.0

File Size vs. Contributors (all time): 72 points

causalml/dataset/synthetic.py x: 8 contributors (all time) y: 449 lines of code pyproject.toml x: 7 contributors (all time) y: 64 lines of code causalml/match.py x: 9 contributors (all time) y: 310 lines of code causalml/metrics/__init__.py x: 7 contributors (all time) y: 34 lines of code causalml/inference/tf/dragonnet.py x: 5 contributors (all time) y: 207 lines of code causalml/feature_selection/filters.py x: 14 contributors (all time) y: 374 lines of code causalml/inference/meta/explainer.py x: 16 contributors (all time) y: 165 lines of code causalml/inference/tree/causal/_tree.py x: 5 contributors (all time) y: 199 lines of code causalml/inference/tree/utils.py x: 9 contributors (all time) y: 213 lines of code causalml/propensity.py x: 10 contributors (all time) y: 114 lines of code causalml/metrics/visualize.py x: 11 contributors (all time) y: 613 lines of code causalml/inference/meta/rlearner.py x: 15 contributors (all time) y: 457 lines of code setup.py x: 14 contributors (all time) y: 44 lines of code causalml/inference/tree/_tree/_tree.pyx x: 2 contributors (all time) y: 1062 lines of code causalml/inference/tree/_tree/_utils.pxd x: 2 contributors (all time) y: 46 lines of code causalml/inference/tree/causal/_builder.pxd x: 2 contributors (all time) y: 3 lines of code causalml/inference/tree/causal/_builder.pyx x: 3 contributors (all time) y: 301 lines of code causalml/dataset/__init__.py x: 6 contributors (all time) y: 15 lines of code causalml/dataset/classification.py x: 7 contributors (all time) y: 397 lines of code causalml/inference/tree/uplift.pyx x: 10 contributors (all time) y: 1805 lines of code causalml/inference/tree/_tree/__init__.py x: 1 contributors (all time) y: 1 lines of code causalml/inference/tree/_tree/_classes.py x: 1 contributors (all time) y: 127 lines of code causalml/inference/tree/_tree/_criterion.pxd x: 1 contributors (all time) y: 40 lines of code causalml/inference/tree/_tree/_criterion.pyx x: 1 contributors (all time) y: 166 lines of code causalml/inference/tree/_tree/_splitter.pxd x: 1 contributors (all time) y: 43 lines of code causalml/inference/tree/_tree/_splitter.pyx x: 1 contributors (all time) y: 863 lines of code causalml/inference/tree/_tree/_tree.pxd x: 1 contributors (all time) y: 64 lines of code causalml/inference/tree/causal/_criterion.pxd x: 2 contributors (all time) y: 16 lines of code causalml/inference/tree/causal/_criterion.pyx x: 4 contributors (all time) y: 314 lines of code causalml/inference/tree/causal/causalforest.py x: 4 contributors (all time) y: 271 lines of code causalml/inference/tree/causal/causaltree.py x: 4 contributors (all time) y: 220 lines of code causalml/dataset/regression.py x: 10 contributors (all time) y: 77 lines of code envs/environment-py39.yml x: 2 contributors (all time) y: 136 lines of code causalml/inference/iv/iv_regression.py x: 4 contributors (all time) y: 16 lines of code causalml/inference/meta/base.py x: 7 contributors (all time) y: 195 lines of code causalml/inference/meta/drlearner.py x: 9 contributors (all time) y: 344 lines of code causalml/inference/meta/slearner.py x: 13 contributors (all time) y: 233 lines of code causalml/inference/meta/tlearner.py x: 14 contributors (all time) y: 266 lines of code causalml/inference/meta/tmle.py x: 7 contributors (all time) y: 152 lines of code envs/environment-py38.yml x: 3 contributors (all time) y: 136 lines of code causalml/__init__.py x: 12 contributors (all time) y: 10 lines of code causalml/inference/iv/drivlearner.py x: 9 contributors (all time) y: 590 lines of code causalml/inference/tree/plot.py x: 13 contributors (all time) y: 434 lines of code causalml/optimize/value_optimization.py x: 6 contributors (all time) y: 48 lines of code causalml/inference/meta/utils.py x: 7 contributors (all time) y: 72 lines of code causalml/metrics/sensitivity.py x: 6 contributors (all time) y: 374 lines of code causalml/features.py x: 6 contributors (all time) y: 99 lines of code causalml/optimize/pns.py x: 4 contributors (all time) y: 35 lines of code causalml/optimize/unit_selection.py x: 7 contributors (all time) y: 138 lines of code causalml/inference/meta/xlearner.py x: 14 contributors (all time) y: 423 lines of code causalml/inference/tree/__init__.py x: 8 contributors (all time) y: 12 lines of code causalml/optimize/__init__.py x: 7 contributors (all time) y: 5 lines of code causalml/feature_selection/__init__.py x: 3 contributors (all time) y: 1 lines of code causalml/inference/meta/__init__.py x: 5 contributors (all time) y: 12 lines of code causalml/inference/nn/cevae.py x: 4 contributors (all time) y: 64 lines of code causalml/inference/tf/utils.py x: 3 contributors (all time) y: 56 lines of code causalml/metrics/classification.py x: 4 contributors (all time) y: 13 lines of code causalml/metrics/regression.py x: 4 contributors (all time) y: 44 lines of code causalml/optimize/utils.py x: 2 contributors (all time) y: 37 lines of code envs/environment-tf-py37.yml x: 1 contributors (all time) y: 143 lines of code causalml/optimize/policylearner.py x: 4 contributors (all time) y: 98 lines of code
1805.0
lines of code
  min: 1.0
  average: 190.89
  25th percentile: 20.5
  median: 106.5
  75th percentile: 257.75
  max: 1805.0
0 16.0
contributors (all time)
min: 1.0 | average: 5.56 | 25th percentile: 2.0 | median: 4.0 | 75th percentile: 8.0 | max: 16.0

File Size vs. Commits (30 days): 3 points

causalml/dataset/synthetic.py x: 1 commits (30d) y: 449 lines of code pyproject.toml x: 2 commits (30d) y: 64 lines of code causalml/match.py x: 1 commits (30d) y: 310 lines of code
449.0
lines of code
  min: 64.0
  average: 274.33
  25th percentile: 64.0
  median: 310.0
  75th percentile: 449.0
  max: 449.0
0 2.0
commits (30d)
min: 1.0 | average: 1.33 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 2.0 | max: 2.0

File Size vs. Contributors (30 days): 3 points

causalml/dataset/synthetic.py x: 1 contributors (30d) y: 449 lines of code pyproject.toml x: 1 contributors (30d) y: 64 lines of code causalml/match.py x: 1 contributors (30d) y: 310 lines of code
449.0
lines of code
  min: 64.0
  average: 274.33
  25th percentile: 64.0
  median: 310.0
  75th percentile: 449.0
  max: 449.0
0 1.0
contributors (30d)
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

File Size vs. Commits (90 days): 10 points

causalml/dataset/synthetic.py x: 2 commits (90d) y: 449 lines of code pyproject.toml x: 6 commits (90d) y: 64 lines of code causalml/match.py x: 1 commits (90d) y: 310 lines of code causalml/metrics/__init__.py x: 3 commits (90d) y: 34 lines of code causalml/inference/tf/dragonnet.py x: 1 commits (90d) y: 207 lines of code causalml/feature_selection/filters.py x: 1 commits (90d) y: 374 lines of code causalml/inference/meta/explainer.py x: 1 commits (90d) y: 165 lines of code causalml/inference/tree/causal/_tree.py x: 1 commits (90d) y: 199 lines of code causalml/inference/tree/utils.py x: 1 commits (90d) y: 213 lines of code causalml/propensity.py x: 1 commits (90d) y: 114 lines of code
449.0
lines of code
  min: 34.0
  average: 212.9
  25th percentile: 101.5
  median: 203.0
  75th percentile: 326.0
  max: 449.0
0 6.0
commits (90d)
min: 1.0 | average: 1.8 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 2.25 | max: 6.0

File Size vs. Contributors (90 days): 10 points

causalml/dataset/synthetic.py x: 2 contributors (90d) y: 449 lines of code pyproject.toml x: 3 contributors (90d) y: 64 lines of code causalml/match.py x: 1 contributors (90d) y: 310 lines of code causalml/metrics/__init__.py x: 2 contributors (90d) y: 34 lines of code causalml/inference/tf/dragonnet.py x: 1 contributors (90d) y: 207 lines of code causalml/feature_selection/filters.py x: 1 contributors (90d) y: 374 lines of code causalml/inference/meta/explainer.py x: 1 contributors (90d) y: 165 lines of code causalml/inference/tree/causal/_tree.py x: 1 contributors (90d) y: 199 lines of code causalml/inference/tree/utils.py x: 1 contributors (90d) y: 213 lines of code causalml/propensity.py x: 1 contributors (90d) y: 114 lines of code
449.0
lines of code
  min: 34.0
  average: 212.9
  25th percentile: 101.5
  median: 203.0
  75th percentile: 326.0
  max: 449.0
0 3.0
contributors (90d)
min: 1.0 | average: 1.4 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 2.0 | max: 3.0