uber / causalml
File Size

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

Intro
Learn more...
File Size Overall
27% | 14% | 44% | 5% | 7%
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
pyx68% | 14% | 16% | 0% | <1%
py0% | 14% | 66% | 10% | 8%
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
causalml27% | 14% | 45% | 6% | 6%
ROOT0% | 0% | 0% | 0% | 100%
Longest Files (Top 50)
File# lines# units
uplift.pyx
in causalml/inference/tree
 1796 44
_tree.pyx
in causalml/inference/tree/_tree
 1203 29
_splitter.pyx
in causalml/inference/tree/_tree
 1025 6
_criterion.pyx
in causalml/inference/tree/_tree
 865 7
visualize.py
in causalml/metrics
 596 20
drivlearner.py
in causalml/inference/iv
 589 14
rlearner.py
in causalml/inference/meta
 464 12
synthetic.py
in causalml/dataset
 446 11
plot.py
in causalml/inference/tree
 435 8
xlearner.py
in causalml/inference/meta
 419 10
_builder.pyx
in causalml/inference/tree/causal
 406 2
_classes.py
in causalml/inference/tree/_tree
 397 13
classification.py
in causalml/dataset
 396 13
filters.py
in causalml/feature_selection
 372 13
sensitivity.py
in causalml/metrics
 366 24
drlearner.py
in causalml/inference/meta
 343 8
_criterion.pyx
in causalml/inference/tree/causal
 330 -
match.py
in causalml
 324 10
causalforest.py
in causalml/inference/tree/causal
 288 6
tlearner.py
in causalml/inference/meta
 266 11
slearner.py
in causalml/inference/meta
 233 14
_utils.pyx
in causalml/inference/tree/_tree
 222 4
causaltree.py
in causalml/inference/tree/causal
 215 10
utils.py
in causalml/inference/tree
 214 7
dragonnet.py
in causalml/inference/tf
 207 9
_tree.py
in causalml/inference/tree/causal
 207 3
base.py
in causalml/inference/meta
 195 12
explainer.py
in causalml/inference/meta
 165 11
tmle.py
in causalml/inference/meta
 152 7
unit_selection.py
in causalml/optimize
 137 9
propensity.py
in causalml
 120 13
features.py
in causalml
 103 14
policylearner.py
in causalml/optimize
 98 7
pxd
_tree.pxd
in causalml/inference/tree/_tree
 96 -
pxd
_criterion.pxd
in causalml/inference/tree/_tree
 85 -
regression.py
in causalml/dataset
 77 6
utils.py
in causalml/inference/meta
 72 7
70 -
cevae.py
in causalml/inference/torch
 64 4
utils.py
in causalml/inference/tf
 62 11
pxd
_splitter.pxd
in causalml/inference/tree/_tree
 57 -
pxd
_utils.pxd
in causalml/inference/tree/_tree
 55 -
value_optimization.py
in causalml/optimize
 48 5
setup.py
in root
 46 -
regression.py
in causalml/metrics
 44 6
utils.py
in causalml/optimize
 37 3
__init__.py
in causalml/metrics
 34 -
pns.py
in causalml/optimize
 33 1
iv_regression.py
in causalml/inference/iv
 16 3
pxd
_criterion.pxd
in causalml/inference/tree/causal
 16 -
Files With Most Units (Top 43)
File# lines# units
uplift.pyx
in causalml/inference/tree
 1796 44
_tree.pyx
in causalml/inference/tree/_tree
 1203 29
sensitivity.py
in causalml/metrics
 366 24
visualize.py
in causalml/metrics
 596 20
drivlearner.py
in causalml/inference/iv
 589 14
slearner.py
in causalml/inference/meta
 233 14
features.py
in causalml
 103 14
classification.py
in causalml/dataset
 396 13
_classes.py
in causalml/inference/tree/_tree
 397 13
propensity.py
in causalml
 120 13
filters.py
in causalml/feature_selection
 372 13
base.py
in causalml/inference/meta
 195 12
rlearner.py
in causalml/inference/meta
 464 12
synthetic.py
in causalml/dataset
 446 11
utils.py
in causalml/inference/tf
 62 11
explainer.py
in causalml/inference/meta
 165 11
tlearner.py
in causalml/inference/meta
 266 11
causaltree.py
in causalml/inference/tree/causal
 215 10
xlearner.py
in causalml/inference/meta
 419 10
match.py
in causalml
 324 10
dragonnet.py
in causalml/inference/tf
 207 9
unit_selection.py
in causalml/optimize
 137 9
plot.py
in causalml/inference/tree
 435 8
drlearner.py
in causalml/inference/meta
 343 8
_criterion.pyx
in causalml/inference/tree/_tree
 865 7
utils.py
in causalml/inference/tree
 214 7
tmle.py
in causalml/inference/meta
 152 7
utils.py
in causalml/inference/meta
 72 7
policylearner.py
in causalml/optimize
 98 7
regression.py
in causalml/metrics
 44 6
regression.py
in causalml/dataset
 77 6
causalforest.py
in causalml/inference/tree/causal
 288 6
_splitter.pyx
in causalml/inference/tree/_tree
 1025 6
value_optimization.py
in causalml/optimize
 48 5
cevae.py
in causalml/inference/torch
 64 4
_utils.pyx
in causalml/inference/tree/_tree
 222 4
iv_regression.py
in causalml/inference/iv
 16 3
_tree.py
in causalml/inference/tree/causal
 207 3
utils.py
in causalml/optimize
 37 3
classification.py
in causalml/metrics
 13 2
_builder.pyx
in causalml/inference/tree/causal
 406 2
_typedefs.pyx
in causalml/inference/tree/_tree
 14 1
pns.py
in causalml/optimize
 33 1
Files With Long Lines (Top 5)

There are 5 files with lines longer than 120 characters. In total, there are 29 long lines.

File# lines# units# long lines
uplift.pyx
in causalml/inference/tree
 1796 44 23
_builder.pyx
in causalml/inference/tree/causal
 406 2 2
_tree.pyx
in causalml/inference/tree/_tree
 1203 29 2
_splitter.pyx
in causalml/inference/tree/_tree
 1025 6 1
_criterion.pyx
in causalml/inference/tree/_tree
 865 7 1
Correlations

File Size vs. Commits (all time): 68 points

causalml/inference/iv/drivlearner.py x: 14 commits (all time) y: 589 lines of code causalml/inference/meta/drlearner.py x: 14 commits (all time) y: 343 lines of code causalml/propensity.py x: 28 commits (all time) y: 120 lines of code pyproject.toml x: 34 commits (all time) y: 70 lines of code causalml/inference/tree/causal/_criterion.pyx x: 9 commits (all time) y: 330 lines of code causalml/inference/tree/_tree/__init__.py x: 2 commits (all time) y: 6 lines of code causalml/inference/tree/_tree/_classes.py x: 3 commits (all time) y: 397 lines of code causalml/inference/tree/_tree/_criterion.pxd x: 3 commits (all time) y: 85 lines of code causalml/inference/tree/_tree/_criterion.pyx x: 3 commits (all time) y: 865 lines of code causalml/inference/tree/_tree/_splitter.pxd x: 3 commits (all time) y: 57 lines of code causalml/inference/tree/_tree/_splitter.pyx x: 3 commits (all time) y: 1025 lines of code causalml/inference/tree/_tree/_tree.pxd x: 3 commits (all time) y: 96 lines of code causalml/inference/tree/_tree/_tree.pyx x: 4 commits (all time) y: 1203 lines of code causalml/inference/tree/_tree/_typedefs.pxd x: 1 commits (all time) y: 9 lines of code causalml/inference/tree/_tree/_utils.pxd x: 3 commits (all time) y: 55 lines of code causalml/inference/tree/_tree/_utils.pyx x: 3 commits (all time) y: 222 lines of code causalml/inference/tree/causal/_builder.pxd x: 4 commits (all time) y: 5 lines of code causalml/inference/tree/causal/_builder.pyx x: 6 commits (all time) y: 406 lines of code causalml/inference/tree/causal/_criterion.pxd x: 5 commits (all time) y: 16 lines of code causalml/inference/tree/causal/_tree.py x: 11 commits (all time) y: 207 lines of code causalml/dataset/classification.py x: 13 commits (all time) y: 396 lines of code causalml/metrics/visualize.py x: 33 commits (all time) y: 596 lines of code causalml/match.py x: 29 commits (all time) y: 324 lines of code causalml/inference/tf/utils.py x: 5 commits (all time) y: 62 lines of code causalml/inference/torch/__init__.py x: 1 commits (all time) y: 1 lines of code causalml/inference/torch/cevae.py x: 1 commits (all time) y: 64 lines of code causalml/inference/meta/rlearner.py x: 70 commits (all time) y: 464 lines of code causalml/inference/tree/causal/causalforest.py x: 8 commits (all time) y: 288 lines of code causalml/inference/tree/causal/causaltree.py x: 10 commits (all time) y: 215 lines of code causalml/features.py x: 15 commits (all time) y: 103 lines of code setup.py x: 40 commits (all time) y: 46 lines of code causalml/dataset/synthetic.py x: 14 commits (all time) y: 446 lines of code causalml/feature_selection/filters.py x: 32 commits (all time) y: 372 lines of code causalml/inference/iv/iv_regression.py x: 6 commits (all time) y: 16 lines of code causalml/inference/meta/explainer.py x: 32 commits (all time) y: 165 lines of code causalml/inference/meta/slearner.py x: 57 commits (all time) y: 233 lines of code causalml/inference/meta/tlearner.py x: 59 commits (all time) y: 266 lines of code causalml/inference/meta/tmle.py x: 15 commits (all time) y: 152 lines of code causalml/inference/meta/xlearner.py x: 60 commits (all time) y: 419 lines of code causalml/inference/tree/plot.py x: 22 commits (all time) y: 435 lines of code causalml/inference/tree/utils.py x: 15 commits (all time) y: 214 lines of code causalml/metrics/sensitivity.py x: 15 commits (all time) y: 366 lines of code causalml/optimize/pns.py x: 6 commits (all time) y: 33 lines of code causalml/optimize/policylearner.py x: 8 commits (all time) y: 98 lines of code causalml/optimize/unit_selection.py x: 10 commits (all time) y: 137 lines of code causalml/optimize/value_optimization.py x: 9 commits (all time) y: 48 lines of code causalml/inference/tree/uplift.pyx x: 18 commits (all time) y: 1796 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/dataset/__init__.py x: 8 commits (all time) y: 15 lines of code causalml/dataset/regression.py x: 16 commits (all time) y: 77 lines of code causalml/inference/meta/base.py x: 11 commits (all time) y: 195 lines of code causalml/__init__.py x: 42 commits (all time) y: 10 lines of code causalml/inference/meta/utils.py x: 23 commits (all time) y: 72 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/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 MANIFEST.in x: 7 commits (all time) y: 6 lines of code setup.cfg x: 3 commits (all time) y: 4 lines of code
1796.0
lines of code
  min: 1.0
  average: 215.06
  25th percentile: 14.25
  median: 90.5
  75th percentile: 328.5
  max: 1796.0
0 70.0
commits (all time)
min: 1.0 | average: 14.32 | 25th percentile: 3.25 | median: 9.0 | 75th percentile: 15.75 | max: 70.0

File Size vs. Contributors (all time): 68 points

causalml/inference/iv/drivlearner.py x: 10 contributors (all time) y: 589 lines of code causalml/inference/meta/drlearner.py x: 10 contributors (all time) y: 343 lines of code causalml/propensity.py x: 11 contributors (all time) y: 120 lines of code pyproject.toml x: 9 contributors (all time) y: 70 lines of code causalml/inference/tree/causal/_criterion.pyx x: 4 contributors (all time) y: 330 lines of code causalml/inference/tree/_tree/__init__.py x: 2 contributors (all time) y: 6 lines of code causalml/inference/tree/_tree/_classes.py x: 2 contributors (all time) y: 397 lines of code causalml/inference/tree/_tree/_criterion.pxd x: 2 contributors (all time) y: 85 lines of code causalml/inference/tree/_tree/_criterion.pyx x: 2 contributors (all time) y: 865 lines of code causalml/inference/tree/_tree/_splitter.pxd x: 2 contributors (all time) y: 57 lines of code causalml/inference/tree/_tree/_splitter.pyx x: 2 contributors (all time) y: 1025 lines of code causalml/inference/tree/_tree/_tree.pxd x: 2 contributors (all time) y: 96 lines of code causalml/inference/tree/_tree/_tree.pyx x: 3 contributors (all time) y: 1203 lines of code causalml/inference/tree/_tree/_typedefs.pxd x: 1 contributors (all time) y: 9 lines of code causalml/inference/tree/_tree/_utils.pxd x: 3 contributors (all time) y: 55 lines of code causalml/inference/tree/_tree/_utils.pyx x: 3 contributors (all time) y: 222 lines of code causalml/inference/tree/causal/_builder.pxd x: 3 contributors (all time) y: 5 lines of code causalml/inference/tree/causal/_builder.pyx x: 4 contributors (all time) y: 406 lines of code causalml/inference/tree/causal/_criterion.pxd x: 3 contributors (all time) y: 16 lines of code causalml/inference/tree/causal/_tree.py x: 5 contributors (all time) y: 207 lines of code causalml/dataset/classification.py x: 8 contributors (all time) y: 396 lines of code causalml/metrics/visualize.py x: 11 contributors (all time) y: 596 lines of code causalml/match.py x: 11 contributors (all time) y: 324 lines of code causalml/inference/tf/utils.py x: 3 contributors (all time) y: 62 lines of code causalml/inference/torch/__init__.py x: 1 contributors (all time) y: 1 lines of code causalml/inference/torch/cevae.py x: 1 contributors (all time) y: 64 lines of code causalml/inference/meta/rlearner.py x: 15 contributors (all time) y: 464 lines of code causalml/inference/tree/causal/causalforest.py x: 4 contributors (all time) y: 288 lines of code causalml/inference/tree/causal/causaltree.py x: 4 contributors (all time) y: 215 lines of code causalml/features.py x: 7 contributors (all time) y: 103 lines of code setup.py x: 15 contributors (all time) y: 46 lines of code causalml/dataset/synthetic.py x: 8 contributors (all time) y: 446 lines of code causalml/feature_selection/filters.py x: 15 contributors (all time) y: 372 lines of code causalml/inference/iv/iv_regression.py x: 5 contributors (all time) y: 16 lines of code causalml/inference/meta/explainer.py x: 16 contributors (all time) y: 165 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 causalml/inference/meta/xlearner.py x: 14 contributors (all time) y: 419 lines of code causalml/inference/tree/plot.py x: 13 contributors (all time) y: 435 lines of code causalml/inference/tree/utils.py x: 9 contributors (all time) y: 214 lines of code causalml/metrics/sensitivity.py x: 7 contributors (all time) y: 366 lines of code causalml/optimize/pns.py x: 5 contributors (all time) y: 33 lines of code causalml/optimize/policylearner.py x: 5 contributors (all time) y: 98 lines of code causalml/optimize/unit_selection.py x: 7 contributors (all time) y: 137 lines of code causalml/optimize/value_optimization.py x: 6 contributors (all time) y: 48 lines of code causalml/inference/tree/uplift.pyx x: 11 contributors (all time) y: 1796 lines of code causalml/metrics/__init__.py x: 7 contributors (all time) y: 34 lines of code causalml/dataset/__init__.py x: 6 contributors (all time) y: 15 lines of code causalml/dataset/regression.py x: 10 contributors (all time) y: 77 lines of code causalml/inference/meta/base.py x: 7 contributors (all time) y: 195 lines of code causalml/__init__.py x: 12 contributors (all time) y: 10 lines of code causalml/inference/meta/utils.py x: 7 contributors (all time) y: 72 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/inference/meta/__init__.py x: 5 contributors (all time) y: 12 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
1796.0
lines of code
  min: 1.0
  average: 215.06
  25th percentile: 14.25
  median: 90.5
  75th percentile: 328.5
  max: 1796.0
0 16.0
contributors (all time)
min: 1.0 | average: 6.12 | 25th percentile: 2.25 | median: 5.0 | 75th percentile: 9.0 | max: 16.0

File Size vs. Commits (30 days): 0 points

No data for "commits (30d)" vs. "lines of code".

File Size vs. Contributors (30 days): 0 points

No data for "contributors (30d)" vs. "lines of code".

File Size vs. Commits (90 days): 5 points

causalml/inference/iv/drivlearner.py x: 1 commits (90d) y: 589 lines of code causalml/inference/meta/drlearner.py x: 1 commits (90d) y: 343 lines of code causalml/propensity.py x: 2 commits (90d) y: 120 lines of code pyproject.toml x: 3 commits (90d) y: 70 lines of code causalml/inference/tree/causal/_criterion.pyx x: 1 commits (90d) y: 330 lines of code
589.0
lines of code
  min: 70.0
  average: 290.4
  25th percentile: 95.0
  median: 330.0
  75th percentile: 466.0
  max: 589.0
0 3.0
commits (90d)
min: 1.0 | average: 1.6 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 2.5 | max: 3.0

File Size vs. Contributors (90 days): 5 points

causalml/inference/iv/drivlearner.py x: 1 contributors (90d) y: 589 lines of code causalml/inference/meta/drlearner.py x: 1 contributors (90d) y: 343 lines of code causalml/propensity.py x: 1 contributors (90d) y: 120 lines of code pyproject.toml x: 1 contributors (90d) y: 70 lines of code causalml/inference/tree/causal/_criterion.pyx x: 1 contributors (90d) y: 330 lines of code
589.0
lines of code
  min: 70.0
  average: 290.4
  25th percentile: 95.0
  median: 330.0
  75th percentile: 466.0
  max: 589.0
0 1.0
contributors (90d)
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0