Uber / causalml
File Change Frequency

File change frequency (churn) shows the distribution of file updates (days with at least one commit).

Overview
File Change Frequency Overall
  • There are 72 files with 13,744 lines of code.
    • 0 files changed more than 100 times (0 lines of code)
    • 1 file changed 51-100 times (457 lines of code)
    • 8 files changed 21-50 times (2,128 lines of code)
    • 27 files changed 6-20 times (6,621 lines of code)
    • 36 files changed 1-5 times (4,538 lines of code)
0% | 3% | 15% | 48% | 33%
Legend:
101+
51-100
21-50
6-20
1-5

explore: grouped by folders | grouped by update frequency | data
Contributors Count Frequency Overall
  • There are 72 files with 13,744 lines of code.
    • 0 files changed by more than 25 contributors (0 lines of code)
    • 10 files changed by 11-25 contributors (3,019 lines of code)
    • 21 files changed by 6-10 contributors (5,507 lines of code)
    • 28 files changed by 2-5 contributors (3,481 lines of code)
    • 13 files changed by 1 contributor (1,737 lines of code)
0% | 21% | 40% | 25% | 12%
Legend:
26+
11-25
6-10
2-5
1

explore: grouped by folders | grouped by contributors count | data
File Change Frequency per File Extension
py, ipynb, yml, md, rst, pyx, pxd, txt, in, svg, ini, cfg, gitignore, toml, json, bib, yaml
File Change Frequency per Extension
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
py0% | 5% | 26% | 58% | 9%
pyx0% | 0% | 0% | 39% | 60%
toml0% | 0% | 0% | 100% | 0%
yml0% | 0% | 0% | 0% | 100%
pxd0% | 0% | 0% | 0% | 100%
in0% | 0% | 0% | 0% | 100%
cfg0% | 0% | 0% | 0% | 100%
File Change Frequency per Logical Decomposition
primary
primary (file change frequency)
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
causalml0% | 3% | 16% | 51% | 28%
ROOT0% | 0% | 37% | 54% | 8%
envs0% | 0% | 0% | 0% | 100%
Most Frequently Changed Files (Top 50)

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsfirst
contributor		latest
contributor
rlearner.py
in causalml/inference/meta
 457 12 2019-08-06 2023-12-01 52 15 jeong@uber.com zijiaw@outlook.com
xlearner.py
in causalml/inference/meta
 423 10 2019-08-07 2023-02-03 46 14 jeong@uber.com alxcollette@gmail.com
tlearner.py
in causalml/inference/meta
 266 11 2019-07-16 2023-07-20 40 14 mike.yung@uber.com 34151358+xhulianothe1@users...
slearner.py
in causalml/inference/meta
 233 14 2019-07-16 2023-07-20 39 13 mike.yung@uber.com 34151358+xhulianothe1@users...
setup.py
in root
 44 - 2019-07-16 2023-11-17 28 14 mike.yung@uber.com 9282281+ras44@users.noreply...
__init__.py
in causalml
 10 - 2019-07-16 2023-07-08 26 12 mike.yung@uber.com jeongyoon.lee1@gmail.com
filters.py
in causalml/feature_selection
 374 13 2020-02-13 2024-01-29 26 14 zhenyuz@uber.com 30959770+alexander-pv@users...
explainer.py
in causalml/inference/meta
 165 11 2019-10-07 2024-01-29 23 16 mike.yung@uber.com 30959770+alexander-pv@users...
visualize.py
in causalml/metrics
 613 20 2019-08-25 2023-12-08 22 11 jeong@uber.com 9282281+ras44@users.noreply...
propensity.py
in causalml
 114 13 2019-07-16 2024-01-29 20 10 mike.yung@uber.com 30959770+alexander-pv@users...
utils.py
in causalml/inference/meta
 72 7 2019-08-27 2023-07-08 18 7 mike.yung@uber.com 65400956+volico@users.norep...
plot.py
in causalml/inference/tree
 434 8 2019-10-15 2023-07-08 18 13 zhenyuz0500@gmail.com 65400956+volico@users.norep...
match.py
in causalml
 310 10 2019-07-16 2024-03-23 17 9 mike.yung@uber.com jeongyoon.lee1@gmail.com
__init__.py
in causalml/metrics
 34 - 2019-07-16 2024-02-13 16 7 mike.yung@uber.com 9282281+ras44@users.noreply...
regression.py
in causalml/dataset
 77 6 2019-07-17 2023-08-18 15 10 mike.yung@uber.com benjwsaunders@gmail.com
64 - 2022-09-20 2024-03-23 14 7 darthtrevino@users.noreply.... jeongyoon.lee1@gmail.com
tmle.py
in causalml/inference/meta
 152 7 2019-11-13 2023-07-20 13 7 jeong@uber.com 34151358+xhulianothe1@users...
utils.py
in causalml/inference/tree
 213 7 2019-10-15 2024-01-29 13 9 zhenyuz0500@gmail.com 30959770+alexander-pv@users...
synthetic.py
in causalml/dataset
 449 11 2019-08-29 2024-03-23 12 8 jeong@uber.com jeongyoon.lee1@gmail.com
uplift.pyx
in causalml/inference/tree
 1805 45 2021-12-13 2023-10-25 12 10 jeongyoon.lee1@gmail.com 50078219+peterloleungyau@us...
__init__.py
in causalml/inference/tree
 12 - 2019-07-16 2022-12-12 11 8 mike.yung@uber.com 30959770+alexander-pv@users...
__init__.py
in causalml/inference/meta
 12 - 2019-08-19 2022-04-01 10 5 23464531+t-tte@users.norepl... 23464531+t-tte@users.norepl...
classification.py
in causalml/metrics
 13 2 2019-07-26 2022-04-01 10 4 jeong@uber.com 23464531+t-tte@users.norepl...
regression.py
in causalml/metrics
 44 6 2019-07-26 2022-04-01 10 4 jeong@uber.com 23464531+t-tte@users.norepl...
drlearner.py
in causalml/inference/meta
 344 8 2021-02-01 2023-07-20 10 9 huigang@gmail.com 34151358+xhulianothe1@users...
classification.py
in causalml/dataset
 397 13 2019-07-16 2023-11-08 10 7 zhenyuz0500@gmail.com 9282281+ras44@users.noreply...
features.py
in causalml
 99 14 2019-07-16 2023-07-08 9 6 mike.yung@uber.com 23464531+t-tte@users.norepl...
sensitivity.py
in causalml/metrics
 374 24 2020-06-24 2023-07-08 9 6 ppstacy@gmail.com 23464531+t-tte@users.norepl...
drivlearner.py
in causalml/inference/iv
 590 14 2021-02-01 2023-07-08 9 9 huigang@gmail.com 65400956+volico@users.norep...
unit_selection.py
in causalml/optimize
 138 9 2020-07-14 2023-03-16 8 7 23464531+t-tte@users.norepl... jeong@uber.com
base.py
in causalml/inference/meta
 195 12 2021-02-02 2023-07-20 8 7 jeongyoon.lee1@gmail.com 34151358+xhulianothe1@users...
__init__.py
in causalml/optimize
 5 - 2019-07-16 2022-05-01 7 7 mike.yung@uber.com paullo0106@gmail.com
value_optimization.py
in causalml/optimize
 48 5 2020-07-14 2023-07-08 7 6 23464531+t-tte@users.norepl... jeongyoon.lee1@gmail.com
_tree.py
in causalml/inference/tree/causal
 199 3 2022-08-21 2024-01-29 7 5 30959770+alexander-pv@users... 30959770+alexander-pv@users...
dragonnet.py
in causalml/inference/tf
 207 9 2021-06-07 2024-01-29 7 5 jeongyoon.lee1@gmail.com 9282281+ras44@users.noreply...
causaltree.py
in causalml/inference/tree/causal
 220 10 2022-08-21 2023-10-23 7 4 30959770+alexander-pv@users... 30959770+alexander-pv@users...
__init__.py
in causalml/feature_selection
 1 - 2020-02-13 2022-04-01 5 3 zhenyuz@uber.com 23464531+t-tte@users.norepl...
__init__.py
in causalml/dataset
 15 - 2019-07-16 2023-11-08 5 6 zhenyuz0500@gmail.com 9282281+ras44@users.noreply...
iv_regression.py
in causalml/inference/iv
 16 3 2020-06-23 2023-07-20 5 4 huigang@gmail.com 34151358+xhulianothe1@users...
pns.py
in causalml/optimize
 35 1 2022-03-06 2023-03-16 5 4 th.harinen@gmail.com jeong@uber.com
cevae.py
in causalml/inference/nn
 64 4 2021-02-01 2022-04-01 5 4 ppstacy@gmail.com 23464531+t-tte@users.norepl...
policylearner.py
in causalml/optimize
 98 7 2019-07-16 2021-02-01 5 4 mike.yung@uber.com huigang@gmail.com
causalforest.py
in causalml/inference/tree/causal
 271 6 2022-12-12 2023-10-23 5 4 30959770+alexander-pv@users... 30959770+alexander-pv@users...
const.py
in causalml/metrics
 1 - 2019-07-26 2022-04-01 4 3 jeong@uber.com 23464531+t-tte@users.norepl...
utils.py
in causalml/optimize
 37 3 2020-07-14 2022-04-01 4 2 23464531+t-tte@users.norepl... 23464531+t-tte@users.norepl...
utils.py
in causalml/inference/tf
 56 9 2021-06-07 2022-04-01 4 3 jeongyoon.lee1@gmail.com 23464531+t-tte@users.norepl...
136 - 2021-04-23 2023-07-20 4 3 jeongyoon.lee1@gmail.com 134115220+bsaunders27@users...
_builder.pyx
in causalml/inference/tree/causal
 301 2 2022-12-12 2023-11-11 4 3 30959770+alexander-pv@users... supernbo@gmail.com
_criterion.pyx
in causalml/inference/tree/causal
 314 - 2022-12-12 2023-10-23 4 4 30959770+alexander-pv@users... 30959770+alexander-pv@users...
__init__.py
in causalml/inference/nn
 1 - 2020-02-18 2021-06-07 3 3 mike.yung@uber.com jeongyoon.lee1@gmail.com
Files With Most Contributors (Top 50)
Based on the number of unique email addresses found in commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsfirst
contributor		latest
contributor
explainer.py
in causalml/inference/meta
 165 11 2019-10-07 2024-01-29 23 16 mike.yung@uber.com 30959770+alexander-pv@users...
rlearner.py
in causalml/inference/meta
 457 12 2019-08-06 2023-12-01 52 15 jeong@uber.com zijiaw@outlook.com
xlearner.py
in causalml/inference/meta
 423 10 2019-08-07 2023-02-03 46 14 jeong@uber.com alxcollette@gmail.com
tlearner.py
in causalml/inference/meta
 266 11 2019-07-16 2023-07-20 40 14 mike.yung@uber.com 34151358+xhulianothe1@users...
setup.py
in root
 44 - 2019-07-16 2023-11-17 28 14 mike.yung@uber.com 9282281+ras44@users.noreply...
filters.py
in causalml/feature_selection
 374 13 2020-02-13 2024-01-29 26 14 zhenyuz@uber.com 30959770+alexander-pv@users...
slearner.py
in causalml/inference/meta
 233 14 2019-07-16 2023-07-20 39 13 mike.yung@uber.com 34151358+xhulianothe1@users...
plot.py
in causalml/inference/tree
 434 8 2019-10-15 2023-07-08 18 13 zhenyuz0500@gmail.com 65400956+volico@users.norep...
__init__.py
in causalml
 10 - 2019-07-16 2023-07-08 26 12 mike.yung@uber.com jeongyoon.lee1@gmail.com
visualize.py
in causalml/metrics
 613 20 2019-08-25 2023-12-08 22 11 jeong@uber.com 9282281+ras44@users.noreply...
propensity.py
in causalml
 114 13 2019-07-16 2024-01-29 20 10 mike.yung@uber.com 30959770+alexander-pv@users...
regression.py
in causalml/dataset
 77 6 2019-07-17 2023-08-18 15 10 mike.yung@uber.com benjwsaunders@gmail.com
uplift.pyx
in causalml/inference/tree
 1805 45 2021-12-13 2023-10-25 12 10 jeongyoon.lee1@gmail.com 50078219+peterloleungyau@us...
match.py
in causalml
 310 10 2019-07-16 2024-03-23 17 9 mike.yung@uber.com jeongyoon.lee1@gmail.com
utils.py
in causalml/inference/tree
 213 7 2019-10-15 2024-01-29 13 9 zhenyuz0500@gmail.com 30959770+alexander-pv@users...
drlearner.py
in causalml/inference/meta
 344 8 2021-02-01 2023-07-20 10 9 huigang@gmail.com 34151358+xhulianothe1@users...
drivlearner.py
in causalml/inference/iv
 590 14 2021-02-01 2023-07-08 9 9 huigang@gmail.com 65400956+volico@users.norep...
synthetic.py
in causalml/dataset
 449 11 2019-08-29 2024-03-23 12 8 jeong@uber.com jeongyoon.lee1@gmail.com
__init__.py
in causalml/inference/tree
 12 - 2019-07-16 2022-12-12 11 8 mike.yung@uber.com 30959770+alexander-pv@users...
utils.py
in causalml/inference/meta
 72 7 2019-08-27 2023-07-08 18 7 mike.yung@uber.com 65400956+volico@users.norep...
__init__.py
in causalml/metrics
 34 - 2019-07-16 2024-02-13 16 7 mike.yung@uber.com 9282281+ras44@users.noreply...
64 - 2022-09-20 2024-03-23 14 7 darthtrevino@users.noreply.... jeongyoon.lee1@gmail.com
tmle.py
in causalml/inference/meta
 152 7 2019-11-13 2023-07-20 13 7 jeong@uber.com 34151358+xhulianothe1@users...
classification.py
in causalml/dataset
 397 13 2019-07-16 2023-11-08 10 7 zhenyuz0500@gmail.com 9282281+ras44@users.noreply...
unit_selection.py
in causalml/optimize
 138 9 2020-07-14 2023-03-16 8 7 23464531+t-tte@users.norepl... jeong@uber.com
base.py
in causalml/inference/meta
 195 12 2021-02-02 2023-07-20 8 7 jeongyoon.lee1@gmail.com 34151358+xhulianothe1@users...
__init__.py
in causalml/optimize
 5 - 2019-07-16 2022-05-01 7 7 mike.yung@uber.com paullo0106@gmail.com
sensitivity.py
in causalml/metrics
 374 24 2020-06-24 2023-07-08 9 6 ppstacy@gmail.com 23464531+t-tte@users.norepl...
features.py
in causalml
 99 14 2019-07-16 2023-07-08 9 6 mike.yung@uber.com 23464531+t-tte@users.norepl...
value_optimization.py
in causalml/optimize
 48 5 2020-07-14 2023-07-08 7 6 23464531+t-tte@users.norepl... jeongyoon.lee1@gmail.com
__init__.py
in causalml/dataset
 15 - 2019-07-16 2023-11-08 5 6 zhenyuz0500@gmail.com 9282281+ras44@users.noreply...
__init__.py
in causalml/inference/meta
 12 - 2019-08-19 2022-04-01 10 5 23464531+t-tte@users.norepl... 23464531+t-tte@users.norepl...
_tree.py
in causalml/inference/tree/causal
 199 3 2022-08-21 2024-01-29 7 5 30959770+alexander-pv@users... 30959770+alexander-pv@users...
dragonnet.py
in causalml/inference/tf
 207 9 2021-06-07 2024-01-29 7 5 jeongyoon.lee1@gmail.com 9282281+ras44@users.noreply...
regression.py
in causalml/metrics
 44 6 2019-07-26 2022-04-01 10 4 jeong@uber.com 23464531+t-tte@users.norepl...
classification.py
in causalml/metrics
 13 2 2019-07-26 2022-04-01 10 4 jeong@uber.com 23464531+t-tte@users.norepl...
causaltree.py
in causalml/inference/tree/causal
 220 10 2022-08-21 2023-10-23 7 4 30959770+alexander-pv@users... 30959770+alexander-pv@users...
pns.py
in causalml/optimize
 35 1 2022-03-06 2023-03-16 5 4 th.harinen@gmail.com jeong@uber.com
policylearner.py
in causalml/optimize
 98 7 2019-07-16 2021-02-01 5 4 mike.yung@uber.com huigang@gmail.com
causalforest.py
in causalml/inference/tree/causal
 271 6 2022-12-12 2023-10-23 5 4 30959770+alexander-pv@users... 30959770+alexander-pv@users...
cevae.py
in causalml/inference/nn
 64 4 2021-02-01 2022-04-01 5 4 ppstacy@gmail.com 23464531+t-tte@users.norepl...
iv_regression.py
in causalml/inference/iv
 16 3 2020-06-23 2023-07-20 5 4 huigang@gmail.com 34151358+xhulianothe1@users...
_criterion.pyx
in causalml/inference/tree/causal
 314 - 2022-12-12 2023-10-23 4 4 30959770+alexander-pv@users... 30959770+alexander-pv@users...
__init__.py
in causalml/feature_selection
 1 - 2020-02-13 2022-04-01 5 3 zhenyuz@uber.com 23464531+t-tte@users.norepl...
const.py
in causalml/metrics
 1 - 2019-07-26 2022-04-01 4 3 jeong@uber.com 23464531+t-tte@users.norepl...
_builder.pyx
in causalml/inference/tree/causal
 301 2 2022-12-12 2023-11-11 4 3 30959770+alexander-pv@users... supernbo@gmail.com
utils.py
in causalml/inference/tf
 56 9 2021-06-07 2022-04-01 4 3 jeongyoon.lee1@gmail.com 23464531+t-tte@users.norepl...
136 - 2021-04-23 2023-07-20 4 3 jeongyoon.lee1@gmail.com 134115220+bsaunders27@users...
__init__.py
in causalml/inference/nn
 1 - 2020-02-18 2021-06-07 3 3 mike.yung@uber.com jeongyoon.lee1@gmail.com
utils.py
in causalml/optimize
 37 3 2020-07-14 2022-04-01 4 2 23464531+t-tte@users.norepl... 23464531+t-tte@users.norepl...
Files With Least Contributors (Top 50)
Based on the number of unique email addresses found in commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsfirst
contributor		latest
contributor
__init__.py
in causalml/inference
 1 -
_splitter.pyx
in causalml/inference/tree/_tree
 863 10 2023-10-23 2023-10-23 1 1 30959770+alexander-pv@users... 30959770+alexander-pv@users...
_criterion.pyx
in causalml/inference/tree/_tree
 166 5 2023-10-23 2023-10-23 1 1 30959770+alexander-pv@users... 30959770+alexander-pv@users...
143 - 2021-06-07 2021-06-07 1 1 jeongyoon.lee1@gmail.com jeongyoon.lee1@gmail.com
143 - 2021-06-07 2021-06-07 1 1 jeongyoon.lee1@gmail.com jeongyoon.lee1@gmail.com
143 - 2021-06-07 2021-06-07 1 1 jeongyoon.lee1@gmail.com jeongyoon.lee1@gmail.com
_classes.py
in causalml/inference/tree/_tree
 127 11 2023-10-23 2023-10-23 1 1 30959770+alexander-pv@users... 30959770+alexander-pv@users...
pxd
_tree.pxd
in causalml/inference/tree/_tree
 64 - 2023-10-23 2023-10-23 1 1 30959770+alexander-pv@users... 30959770+alexander-pv@users...
pxd
_splitter.pxd
in causalml/inference/tree/_tree
 43 - 2023-10-23 2023-10-23 1 1 30959770+alexander-pv@users... 30959770+alexander-pv@users...
pxd
_criterion.pxd
in causalml/inference/tree/_tree
 40 - 2023-10-23 2023-10-23 1 1 30959770+alexander-pv@users... 30959770+alexander-pv@users...
__init__.py
in causalml/inference/iv
 2 - 2020-06-23 2021-02-01 2 1 huigang@gmail.com huigang@gmail.com
__init__.py
in causalml/inference/tree/_tree
 1 - 2023-10-23 2023-10-23 1 1 30959770+alexander-pv@users... 30959770+alexander-pv@users...
__init__.py
in causalml/inference/tree/causal
 1 - 2022-08-21 2023-10-23 2 1 30959770+alexander-pv@users... 30959770+alexander-pv@users...
__init__.py
in causalml/inference/tf
 1 - 2021-06-07 2021-06-07 1 1 jeongyoon.lee1@gmail.com jeongyoon.lee1@gmail.com
_tree.pyx
in causalml/inference/tree/_tree
 1062 28 2023-10-23 2023-11-11 2 2 30959770+alexander-pv@users... supernbo@gmail.com
137 - 2021-04-23 2023-07-20 3 2 jeongyoon.lee1@gmail.com 134115220+bsaunders27@users...
136 - 2021-06-07 2023-08-18 3 2 jeongyoon.lee1@gmail.com 134115220+bsaunders27@users...
pxd
_utils.pxd
in causalml/inference/tree/_tree
 46 - 2023-10-23 2023-11-11 2 2 30959770+alexander-pv@users... supernbo@gmail.com
_utils.pyx
in causalml/inference/tree/_tree
 45 1 2023-10-23 2023-11-11 2 2 30959770+alexander-pv@users... supernbo@gmail.com
utils.py
in causalml/optimize
 37 3 2020-07-14 2022-04-01 4 2 23464531+t-tte@users.norepl... 23464531+t-tte@users.norepl...
pxd
_criterion.pxd
in causalml/inference/tree/causal
 16 - 2022-12-12 2023-10-23 3 2 30959770+alexander-pv@users... 30959770+alexander-pv@users...
in
 6 - 2019-07-15 2019-08-14 3 2 jeong@uber.com jeong@uber.com
cfg
setup.cfg
in root
 4 - 2019-07-15 2019-07-16 2 2 jeong@uber.com mike.yung@uber.com
pxd
_builder.pxd
in causalml/inference/tree/causal
 3 - 2022-12-12 2023-11-11 3 2 30959770+alexander-pv@users... supernbo@gmail.com
_builder.pyx
in causalml/inference/tree/causal
 301 2 2022-12-12 2023-11-11 4 3 30959770+alexander-pv@users... supernbo@gmail.com
136 - 2021-04-23 2023-07-20 4 3 jeongyoon.lee1@gmail.com 134115220+bsaunders27@users...
utils.py
in causalml/inference/tf
 56 9 2021-06-07 2022-04-01 4 3 jeongyoon.lee1@gmail.com 23464531+t-tte@users.norepl...
const.py
in causalml/metrics
 1 - 2019-07-26 2022-04-01 4 3 jeong@uber.com 23464531+t-tte@users.norepl...
__init__.py
in causalml/feature_selection
 1 - 2020-02-13 2022-04-01 5 3 zhenyuz@uber.com 23464531+t-tte@users.norepl...
__init__.py
in causalml/inference/nn
 1 - 2020-02-18 2021-06-07 3 3 mike.yung@uber.com jeongyoon.lee1@gmail.com
_criterion.pyx
in causalml/inference/tree/causal
 314 - 2022-12-12 2023-10-23 4 4 30959770+alexander-pv@users... 30959770+alexander-pv@users...
causalforest.py
in causalml/inference/tree/causal
 271 6 2022-12-12 2023-10-23 5 4 30959770+alexander-pv@users... 30959770+alexander-pv@users...
causaltree.py
in causalml/inference/tree/causal
 220 10 2022-08-21 2023-10-23 7 4 30959770+alexander-pv@users... 30959770+alexander-pv@users...
policylearner.py
in causalml/optimize
 98 7 2019-07-16 2021-02-01 5 4 mike.yung@uber.com huigang@gmail.com
cevae.py
in causalml/inference/nn
 64 4 2021-02-01 2022-04-01 5 4 ppstacy@gmail.com 23464531+t-tte@users.norepl...
regression.py
in causalml/metrics
 44 6 2019-07-26 2022-04-01 10 4 jeong@uber.com 23464531+t-tte@users.norepl...
pns.py
in causalml/optimize
 35 1 2022-03-06 2023-03-16 5 4 th.harinen@gmail.com jeong@uber.com
iv_regression.py
in causalml/inference/iv
 16 3 2020-06-23 2023-07-20 5 4 huigang@gmail.com 34151358+xhulianothe1@users...
classification.py
in causalml/metrics
 13 2 2019-07-26 2022-04-01 10 4 jeong@uber.com 23464531+t-tte@users.norepl...
dragonnet.py
in causalml/inference/tf
 207 9 2021-06-07 2024-01-29 7 5 jeongyoon.lee1@gmail.com 9282281+ras44@users.noreply...
_tree.py
in causalml/inference/tree/causal
 199 3 2022-08-21 2024-01-29 7 5 30959770+alexander-pv@users... 30959770+alexander-pv@users...
__init__.py
in causalml/inference/meta
 12 - 2019-08-19 2022-04-01 10 5 23464531+t-tte@users.norepl... 23464531+t-tte@users.norepl...
sensitivity.py
in causalml/metrics
 374 24 2020-06-24 2023-07-08 9 6 ppstacy@gmail.com 23464531+t-tte@users.norepl...
features.py
in causalml
 99 14 2019-07-16 2023-07-08 9 6 mike.yung@uber.com 23464531+t-tte@users.norepl...
value_optimization.py
in causalml/optimize
 48 5 2020-07-14 2023-07-08 7 6 23464531+t-tte@users.norepl... jeongyoon.lee1@gmail.com
__init__.py
in causalml/dataset
 15 - 2019-07-16 2023-11-08 5 6 zhenyuz0500@gmail.com 9282281+ras44@users.noreply...
classification.py
in causalml/dataset
 397 13 2019-07-16 2023-11-08 10 7 zhenyuz0500@gmail.com 9282281+ras44@users.noreply...
base.py
in causalml/inference/meta
 195 12 2021-02-02 2023-07-20 8 7 jeongyoon.lee1@gmail.com 34151358+xhulianothe1@users...
tmle.py
in causalml/inference/meta
 152 7 2019-11-13 2023-07-20 13 7 jeong@uber.com 34151358+xhulianothe1@users...
unit_selection.py
in causalml/optimize
 138 9 2020-07-14 2023-03-16 8 7 23464531+t-tte@users.norepl... jeong@uber.com
Correlations

File Size vs. Number of Changes: 72 points

causalml/dataset/synthetic.py x: 449 lines of code y: 12 # changes pyproject.toml x: 64 lines of code y: 14 # changes causalml/match.py x: 310 lines of code y: 17 # changes causalml/metrics/__init__.py x: 34 lines of code y: 16 # changes causalml/inference/tf/dragonnet.py x: 207 lines of code y: 7 # changes causalml/feature_selection/filters.py x: 374 lines of code y: 26 # changes causalml/inference/meta/explainer.py x: 165 lines of code y: 23 # changes causalml/inference/tree/causal/_tree.py x: 199 lines of code y: 7 # changes causalml/inference/tree/utils.py x: 213 lines of code y: 13 # changes causalml/propensity.py x: 114 lines of code y: 20 # changes causalml/metrics/visualize.py x: 613 lines of code y: 22 # changes causalml/inference/meta/rlearner.py x: 457 lines of code y: 52 # changes setup.py x: 44 lines of code y: 28 # changes causalml/inference/tree/_tree/_tree.pyx x: 1062 lines of code y: 2 # changes causalml/inference/tree/_tree/_utils.pxd x: 46 lines of code y: 2 # changes causalml/inference/tree/_tree/_utils.pyx x: 45 lines of code y: 2 # changes causalml/inference/tree/causal/_builder.pxd x: 3 lines of code y: 3 # changes causalml/inference/tree/causal/_builder.pyx x: 301 lines of code y: 4 # changes causalml/dataset/__init__.py x: 15 lines of code y: 5 # changes causalml/dataset/classification.py x: 397 lines of code y: 10 # changes causalml/inference/tree/uplift.pyx x: 1805 lines of code y: 12 # changes causalml/inference/tree/_tree/__init__.py x: 1 lines of code y: 1 # changes causalml/inference/tree/_tree/_classes.py x: 127 lines of code y: 1 # changes causalml/inference/tree/_tree/_criterion.pxd x: 40 lines of code y: 1 # changes causalml/inference/tree/_tree/_criterion.pyx x: 166 lines of code y: 1 # changes causalml/inference/tree/_tree/_splitter.pxd x: 43 lines of code y: 1 # changes causalml/inference/tree/_tree/_splitter.pyx x: 863 lines of code y: 1 # changes causalml/inference/tree/_tree/_tree.pxd x: 64 lines of code y: 1 # changes causalml/inference/tree/causal/__init__.py x: 1 lines of code y: 2 # changes causalml/inference/tree/causal/_criterion.pxd x: 16 lines of code y: 3 # changes causalml/inference/tree/causal/_criterion.pyx x: 314 lines of code y: 4 # changes causalml/inference/tree/causal/causalforest.py x: 271 lines of code y: 5 # changes causalml/inference/tree/causal/causaltree.py x: 220 lines of code y: 7 # changes causalml/dataset/regression.py x: 77 lines of code y: 15 # changes envs/environment-py39.yml x: 136 lines of code y: 3 # changes causalml/inference/meta/base.py x: 195 lines of code y: 8 # changes causalml/inference/meta/drlearner.py x: 344 lines of code y: 10 # changes causalml/inference/meta/slearner.py x: 233 lines of code y: 39 # changes causalml/inference/meta/tlearner.py x: 266 lines of code y: 40 # changes causalml/inference/meta/tmle.py x: 152 lines of code y: 13 # changes envs/environment-py37.yml x: 137 lines of code y: 3 # changes envs/environment-py38.yml x: 136 lines of code y: 4 # changes causalml/__init__.py x: 10 lines of code y: 26 # changes causalml/inference/iv/drivlearner.py x: 590 lines of code y: 9 # changes causalml/inference/tree/plot.py x: 434 lines of code y: 18 # changes causalml/optimize/value_optimization.py x: 48 lines of code y: 7 # changes causalml/inference/meta/utils.py x: 72 lines of code y: 18 # changes causalml/metrics/sensitivity.py x: 374 lines of code y: 9 # changes causalml/features.py x: 99 lines of code y: 9 # changes causalml/optimize/pns.py x: 35 lines of code y: 5 # changes causalml/optimize/unit_selection.py x: 138 lines of code y: 8 # changes causalml/inference/meta/xlearner.py x: 423 lines of code y: 46 # changes causalml/inference/tree/__init__.py x: 12 lines of code y: 11 # changes causalml/optimize/__init__.py x: 5 lines of code y: 7 # changes causalml/feature_selection/__init__.py x: 1 lines of code y: 5 # changes causalml/inference/meta/__init__.py x: 12 lines of code y: 10 # changes causalml/inference/nn/cevae.py x: 64 lines of code y: 5 # changes causalml/inference/tf/utils.py x: 56 lines of code y: 4 # changes causalml/metrics/const.py x: 1 lines of code y: 4 # changes causalml/metrics/regression.py x: 44 lines of code y: 10 # changes causalml/optimize/utils.py x: 37 lines of code y: 4 # changes envs/environment-tf-py37.yml x: 143 lines of code y: 1 # changes causalml/optimize/policylearner.py x: 98 lines of code y: 5 # changes MANIFEST.in x: 6 lines of code y: 3 # changes setup.cfg x: 4 lines of code y: 2 # changes
52.0
# changes
  min: 1.0
  average: 9.85
  25th percentile: 3.0
  median: 6.0
  75th percentile: 12.75
  max: 52.0
0 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

Number of Contributors vs. Number of Changes: 72 points

causalml/dataset/synthetic.py x: 8 # contributors y: 12 # changes pyproject.toml x: 7 # contributors y: 14 # changes causalml/match.py x: 9 # contributors y: 17 # changes causalml/metrics/__init__.py x: 7 # contributors y: 16 # changes causalml/inference/tf/dragonnet.py x: 5 # contributors y: 7 # changes causalml/feature_selection/filters.py x: 14 # contributors y: 26 # changes causalml/inference/meta/explainer.py x: 16 # contributors y: 23 # changes causalml/inference/tree/utils.py x: 9 # contributors y: 13 # changes causalml/propensity.py x: 10 # contributors y: 20 # changes causalml/metrics/visualize.py x: 11 # contributors y: 22 # changes causalml/inference/meta/rlearner.py x: 15 # contributors y: 52 # changes setup.py x: 14 # contributors y: 28 # changes causalml/inference/tree/_tree/_tree.pyx x: 2 # contributors y: 2 # changes causalml/inference/tree/causal/_builder.pxd x: 2 # contributors y: 3 # changes causalml/inference/tree/causal/_builder.pyx x: 3 # contributors y: 4 # changes causalml/dataset/__init__.py x: 6 # contributors y: 5 # changes causalml/dataset/classification.py x: 7 # contributors y: 10 # changes causalml/inference/tree/uplift.pyx x: 10 # contributors y: 12 # changes causalml/inference/tree/_tree/__init__.py x: 1 # contributors y: 1 # changes causalml/inference/tree/causal/__init__.py x: 1 # contributors y: 2 # changes causalml/inference/tree/causal/_criterion.pyx x: 4 # contributors y: 4 # changes causalml/inference/tree/causal/causalforest.py x: 4 # contributors y: 5 # changes causalml/inference/tree/causal/causaltree.py x: 4 # contributors y: 7 # changes causalml/dataset/regression.py x: 10 # contributors y: 15 # changes causalml/inference/meta/base.py x: 7 # contributors y: 8 # changes causalml/inference/meta/drlearner.py x: 9 # contributors y: 10 # changes causalml/inference/meta/slearner.py x: 13 # contributors y: 39 # changes causalml/inference/meta/tlearner.py x: 14 # contributors y: 40 # changes causalml/inference/meta/tmle.py x: 7 # contributors y: 13 # changes causalml/__init__.py x: 12 # contributors y: 26 # changes causalml/inference/iv/drivlearner.py x: 9 # contributors y: 9 # changes causalml/inference/tree/plot.py x: 13 # contributors y: 18 # changes causalml/optimize/value_optimization.py x: 6 # contributors y: 7 # changes causalml/inference/meta/utils.py x: 7 # contributors y: 18 # changes causalml/metrics/sensitivity.py x: 6 # contributors y: 9 # changes causalml/inference/meta/xlearner.py x: 14 # contributors y: 46 # changes causalml/inference/tree/__init__.py x: 8 # contributors y: 11 # changes causalml/optimize/__init__.py x: 7 # contributors y: 7 # changes causalml/feature_selection/__init__.py x: 3 # contributors y: 5 # changes causalml/inference/meta/__init__.py x: 5 # contributors y: 10 # changes causalml/metrics/classification.py x: 4 # contributors y: 10 # changes causalml/optimize/utils.py x: 2 # contributors y: 4 # changes causalml/inference/nn/__init__.py x: 3 # contributors y: 3 # changes
52.0
# changes
  min: 1.0
  average: 9.85
  25th percentile: 3.0
  median: 6.0
  75th percentile: 12.75
  max: 52.0
0 16.0
# contributors
min: 1.0 | average: 5.56 | 25th percentile: 2.0 | median: 4.0 | 75th percentile: 8.0 | max: 16.0

Number of Contributors vs. File Size: 72 points

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