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 70 files with 15,859 lines of code.
    • 0 files changed more than 100 times (0 lines of code)
    • 1 file changed 51-100 times (464 lines of code)
    • 11 files changed 21-50 times (2,648 lines of code)
    • 30 files changed 6-20 times (7,680 lines of code)
    • 28 files changed 1-5 times (5,067 lines of code)
0% | 2% | 16% | 48% | 31%
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 70 files with 15,859 lines of code.
    • 0 files changed by more than 25 contributors (0 lines of code)
    • 14 files changed by 11-25 contributors (5,851 lines of code)
    • 18 files changed by 6-10 contributors (2,962 lines of code)
    • 29 files changed by 2-5 contributors (6,153 lines of code)
    • 9 files changed by 1 contributor (893 lines of code)
0% | 36% | 18% | 38% | 5%
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, md, rst, yaml, pyx, pxd, txt, cfg, svg, in, ini, gitignore, toml, bib
File Change Frequency per Extension
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
py0% | 4% | 27% | 52% | 14%
toml0% | 0% | 100% | 0% | 0%
pyx0% | 0% | 0% | 45% | 54%
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% | 2% | 16% | 48% | 32%
ROOT0% | 0% | 92% | 0% | 7%
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
 464 12 2019-08-06 2026-02-01 57 15 jeong@uber.com jeongyoon.lee1@gmail.com
xlearner.py
in causalml/inference/meta
 419 10 2019-08-06 2025-05-14 50 14 jeong@uber.com jeongyoon.lee1@gmail.com
slearner.py
in causalml/inference/meta
 233 14 2019-07-15 2026-02-23 45 14 jeong@uber.com 55545648+mohsinm-dev@users....
tlearner.py
in causalml/inference/meta
 266 11 2019-07-15 2026-02-01 45 14 jeong@uber.com jeongyoon.lee1@gmail.com
71 - 2022-09-20 2026-02-06 38 10 darthtrevino@users.noreply.... jeongyoon.lee1@gmail.com
setup.py
in root
 50 - 2019-07-15 2025-05-19 32 15 jeong@uber.com jeongyoon.lee1@gmail.com
visualize.py
in causalml/metrics
 608 20 2019-08-25 2026-03-07 29 11 jeong@uber.com jeongyoon.lee1@gmail.com
__init__.py
in causalml
 10 - 2019-07-15 2023-07-08 27 12 jeong@uber.com jeongyoon.lee1@gmail.com
propensity.py
in causalml
 130 11 2019-07-15 2026-02-01 27 11 jeong@uber.com jeongyoon.lee1@gmail.com
filters.py
in causalml/feature_selection
 372 13 2020-02-13 2024-04-13 27 15 zhenyuz@uber.com jeongyoon.lee1@gmail.com
explainer.py
in causalml/inference/meta
 165 11 2019-10-07 2024-04-13 24 16 mike.yung@uber.com jeongyoon.lee1@gmail.com
match.py
in causalml
 324 10 2019-07-15 2024-10-07 21 11 jeong@uber.com ospohngellert@protonmail.com
plot.py
in causalml/inference/tree
 435 8 2019-10-15 2024-04-13 19 13 zhenyuz0500@gmail.com jeongyoon.lee1@gmail.com
utils.py
in causalml/inference/meta
 72 7 2019-08-27 2023-07-08 17 7 mike.yung@uber.com 65400956+volico@users.norep...
uplift.pyx
in causalml/inference/tree
 1943 45 2021-12-13 2026-03-13 17 14 jeongyoon.lee1@gmail.com jeongyoon.lee1@gmail.com
__init__.py
in causalml/metrics
 35 - 2019-07-16 2026-03-21 16 8 mike.yung@uber.com 160766756+aman-coder03@user...
tmle.py
in causalml/inference/meta
 146 7 2019-11-13 2026-02-01 16 7 jeong@uber.com jeongyoon.lee1@gmail.com
drlearner.py
in causalml/inference/meta
 432 11 2021-02-01 2026-03-06 16 11 huigang@gmail.com 55545648+mohsinm-dev@users....
regression.py
in causalml/dataset
 77 6 2019-07-17 2023-08-18 15 10 mike.yung@uber.com benjwsaunders@gmail.com
synthetic.py
in causalml/dataset
 455 11 2019-08-29 2026-02-20 15 10 jeong@uber.com 67404152+bekojuniranjan@use...
features.py
in causalml
 111 14 2019-07-15 2026-02-01 14 7 jeong@uber.com jeongyoon.lee1@gmail.com
utils.py
in causalml/inference/tree
 214 7 2019-10-15 2024-04-13 14 9 zhenyuz0500@gmail.com jeongyoon.lee1@gmail.com
classification.py
in causalml/dataset
 396 13 2019-07-16 2024-10-16 13 8 zhenyuz0500@gmail.com jeongyoon.lee1@gmail.com
__init__.py
in causalml/inference/tree
 12 - 2019-07-15 2022-12-12 12 8 jeong@uber.com 30959770+alexander-pv@users...
_tree.py
in causalml/inference/tree/causal
 212 4 2022-08-21 2026-02-01 12 5 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
sensitivity.py
in causalml/metrics
 366 24 2020-06-24 2026-03-07 12 7 ppstacy@gmail.com jeongyoon.lee1@gmail.com
__init__.py
in causalml/inference/meta
 12 - 2019-08-19 2025-07-16 11 6 23464531+t-tte@users.norepl... jeongyoon.lee1@gmail.com
classification.py
in causalml/metrics
 13 2 2019-07-26 2026-02-01 11 5 jeong@uber.com jeongyoon.lee1@gmail.com
regression.py
in causalml/metrics
 44 6 2019-07-26 2026-02-01 11 5 jeong@uber.com jeongyoon.lee1@gmail.com
base.py
in causalml/inference/meta
 201 12 2021-02-02 2026-03-06 11 8 jeongyoon.lee1@gmail.com 55545648+mohsinm-dev@users....
drivlearner.py
in causalml/inference/iv
 589 14 2021-02-01 2025-03-22 11 10 huigang@gmail.com 9282281+ras44@users.noreply...
causaltree.py
in causalml/inference/tree/causal
 231 10 2022-08-21 2025-11-07 10 4 30959770+alexander-pv@users... 30959770+alexander-pv@users...
unit_selection.py
in causalml/optimize
 137 9 2020-07-14 2024-04-13 9 7 23464531+t-tte@users.norepl... jeongyoon.lee1@gmail.com
_criterion.pyx
in causalml/inference/tree/causal
 401 3 2022-12-12 2026-03-13 9 4 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
__init__.py
in causalml/optimize
 5 - 2019-07-15 2022-05-01 8 7 jeong@uber.com paullo0106@gmail.com
value_optimization.py
in causalml/optimize
 48 5 2020-07-14 2024-04-13 8 6 23464531+t-tte@users.norepl... jeongyoon.lee1@gmail.com
policylearner.py
in causalml/optimize
 98 7 2019-07-15 2026-02-01 8 5 jeong@uber.com jeongyoon.lee1@gmail.com
causalforest.py
in causalml/inference/tree/causal
 326 6 2022-12-12 2025-11-07 8 4 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...
_builder.pyx
in causalml/inference/tree/causal
 413 2 2022-12-12 2025-11-07 7 4 30959770+alexander-pv@users... 30959770+alexander-pv@users...
iv_regression.py
in causalml/inference/iv
 16 3 2020-06-23 2024-04-13 6 5 huigang@gmail.com jeongyoon.lee1@gmail.com
pns.py
in causalml/optimize
 33 1 2022-03-06 2024-04-13 6 5 th.harinen@gmail.com jeongyoon.lee1@gmail.com
__init__.py
in causalml/feature_selection
 1 - 2020-02-13 2022-03-31 5 3 zhenyuz@uber.com 23464531+t-tte@users.norepl...
pxd
_builder.pxd
in causalml/inference/tree/causal
 5 - 2022-12-12 2025-11-07 5 3 30959770+alexander-pv@users... 30959770+alexander-pv@users...
__init__.py
in causalml/dataset
 15 - 2019-07-16 2023-11-08 5 6 zhenyuz0500@gmail.com 9282281+ras44@users.noreply...
pxd
_criterion.pxd
in causalml/inference/tree/causal
 43 - 2022-12-12 2025-11-07 5 3 30959770+alexander-pv@users... 30959770+alexander-pv@users...
utils.py
in causalml/inference/tf
 62 11 2021-06-07 2024-09-14 5 3 jeongyoon.lee1@gmail.com jeongyoon.lee1@gmail.com
_classes.py
in causalml/inference/tree/_tree
 399 13 2023-10-23 2026-02-01 5 2 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
_tree.pyx
in causalml/inference/tree/_tree
 1199 29 2023-10-23 2025-11-07 5 3 30959770+alexander-pv@users... 30959770+alexander-pv@users...
const.py
in causalml/metrics
 1 - 2019-07-26 2022-03-31 4 3 jeong@uber.com 23464531+t-tte@users.norepl...
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 2024-04-13 24 16 mike.yung@uber.com jeongyoon.lee1@gmail.com
rlearner.py
in causalml/inference/meta
 464 12 2019-08-06 2026-02-01 57 15 jeong@uber.com jeongyoon.lee1@gmail.com
setup.py
in root
 50 - 2019-07-15 2025-05-19 32 15 jeong@uber.com jeongyoon.lee1@gmail.com
filters.py
in causalml/feature_selection
 372 13 2020-02-13 2024-04-13 27 15 zhenyuz@uber.com jeongyoon.lee1@gmail.com
xlearner.py
in causalml/inference/meta
 419 10 2019-08-06 2025-05-14 50 14 jeong@uber.com jeongyoon.lee1@gmail.com
slearner.py
in causalml/inference/meta
 233 14 2019-07-15 2026-02-23 45 14 jeong@uber.com 55545648+mohsinm-dev@users....
tlearner.py
in causalml/inference/meta
 266 11 2019-07-15 2026-02-01 45 14 jeong@uber.com jeongyoon.lee1@gmail.com
uplift.pyx
in causalml/inference/tree
 1943 45 2021-12-13 2026-03-13 17 14 jeongyoon.lee1@gmail.com jeongyoon.lee1@gmail.com
plot.py
in causalml/inference/tree
 435 8 2019-10-15 2024-04-13 19 13 zhenyuz0500@gmail.com jeongyoon.lee1@gmail.com
__init__.py
in causalml
 10 - 2019-07-15 2023-07-08 27 12 jeong@uber.com jeongyoon.lee1@gmail.com
visualize.py
in causalml/metrics
 608 20 2019-08-25 2026-03-07 29 11 jeong@uber.com jeongyoon.lee1@gmail.com
propensity.py
in causalml
 130 11 2019-07-15 2026-02-01 27 11 jeong@uber.com jeongyoon.lee1@gmail.com
match.py
in causalml
 324 10 2019-07-15 2024-10-07 21 11 jeong@uber.com ospohngellert@protonmail.com
drlearner.py
in causalml/inference/meta
 432 11 2021-02-01 2026-03-06 16 11 huigang@gmail.com 55545648+mohsinm-dev@users....
71 - 2022-09-20 2026-02-06 38 10 darthtrevino@users.noreply.... jeongyoon.lee1@gmail.com
synthetic.py
in causalml/dataset
 455 11 2019-08-29 2026-02-20 15 10 jeong@uber.com 67404152+bekojuniranjan@use...
regression.py
in causalml/dataset
 77 6 2019-07-17 2023-08-18 15 10 mike.yung@uber.com benjwsaunders@gmail.com
drivlearner.py
in causalml/inference/iv
 589 14 2021-02-01 2025-03-22 11 10 huigang@gmail.com 9282281+ras44@users.noreply...
utils.py
in causalml/inference/tree
 214 7 2019-10-15 2024-04-13 14 9 zhenyuz0500@gmail.com jeongyoon.lee1@gmail.com
__init__.py
in causalml/metrics
 35 - 2019-07-16 2026-03-21 16 8 mike.yung@uber.com 160766756+aman-coder03@user...
classification.py
in causalml/dataset
 396 13 2019-07-16 2024-10-16 13 8 zhenyuz0500@gmail.com jeongyoon.lee1@gmail.com
__init__.py
in causalml/inference/tree
 12 - 2019-07-15 2022-12-12 12 8 jeong@uber.com 30959770+alexander-pv@users...
base.py
in causalml/inference/meta
 201 12 2021-02-02 2026-03-06 11 8 jeongyoon.lee1@gmail.com 55545648+mohsinm-dev@users....
utils.py
in causalml/inference/meta
 72 7 2019-08-27 2023-07-08 17 7 mike.yung@uber.com 65400956+volico@users.norep...
tmle.py
in causalml/inference/meta
 146 7 2019-11-13 2026-02-01 16 7 jeong@uber.com jeongyoon.lee1@gmail.com
features.py
in causalml
 111 14 2019-07-15 2026-02-01 14 7 jeong@uber.com jeongyoon.lee1@gmail.com
sensitivity.py
in causalml/metrics
 366 24 2020-06-24 2026-03-07 12 7 ppstacy@gmail.com jeongyoon.lee1@gmail.com
unit_selection.py
in causalml/optimize
 137 9 2020-07-14 2024-04-13 9 7 23464531+t-tte@users.norepl... jeongyoon.lee1@gmail.com
__init__.py
in causalml/optimize
 5 - 2019-07-15 2022-05-01 8 7 jeong@uber.com paullo0106@gmail.com
__init__.py
in causalml/inference/meta
 12 - 2019-08-19 2025-07-16 11 6 23464531+t-tte@users.norepl... jeongyoon.lee1@gmail.com
value_optimization.py
in causalml/optimize
 48 5 2020-07-14 2024-04-13 8 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...
_tree.py
in causalml/inference/tree/causal
 212 4 2022-08-21 2026-02-01 12 5 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
classification.py
in causalml/metrics
 13 2 2019-07-26 2026-02-01 11 5 jeong@uber.com jeongyoon.lee1@gmail.com
regression.py
in causalml/metrics
 44 6 2019-07-26 2026-02-01 11 5 jeong@uber.com jeongyoon.lee1@gmail.com
policylearner.py
in causalml/optimize
 98 7 2019-07-15 2026-02-01 8 5 jeong@uber.com jeongyoon.lee1@gmail.com
dragonnet.py
in causalml/inference/tf
 207 9 2021-06-07 2024-01-29 7 5 jeongyoon.lee1@gmail.com 9282281+ras44@users.noreply...
iv_regression.py
in causalml/inference/iv
 16 3 2020-06-23 2024-04-13 6 5 huigang@gmail.com jeongyoon.lee1@gmail.com
pns.py
in causalml/optimize
 33 1 2022-03-06 2024-04-13 6 5 th.harinen@gmail.com jeongyoon.lee1@gmail.com
causaltree.py
in causalml/inference/tree/causal
 231 10 2022-08-21 2025-11-07 10 4 30959770+alexander-pv@users... 30959770+alexander-pv@users...
_criterion.pyx
in causalml/inference/tree/causal
 401 3 2022-12-12 2026-03-13 9 4 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
causalforest.py
in causalml/inference/tree/causal
 326 6 2022-12-12 2025-11-07 8 4 30959770+alexander-pv@users... 30959770+alexander-pv@users...
_builder.pyx
in causalml/inference/tree/causal
 413 2 2022-12-12 2025-11-07 7 4 30959770+alexander-pv@users... 30959770+alexander-pv@users...
pxd
_criterion.pxd
in causalml/inference/tree/causal
 43 - 2022-12-12 2025-11-07 5 3 30959770+alexander-pv@users... 30959770+alexander-pv@users...
pxd
_builder.pxd
in causalml/inference/tree/causal
 5 - 2022-12-12 2025-11-07 5 3 30959770+alexander-pv@users... 30959770+alexander-pv@users...
_tree.pyx
in causalml/inference/tree/_tree
 1199 29 2023-10-23 2025-11-07 5 3 30959770+alexander-pv@users... 30959770+alexander-pv@users...
utils.py
in causalml/inference/tf
 62 11 2021-06-07 2024-09-14 5 3 jeongyoon.lee1@gmail.com jeongyoon.lee1@gmail.com
__init__.py
in causalml/feature_selection
 1 - 2020-02-13 2022-03-31 5 3 zhenyuz@uber.com 23464531+t-tte@users.norepl...
_utils.pyx
in causalml/inference/tree/_tree
 230 4 2023-10-23 2026-02-01 4 3 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
const.py
in causalml/metrics
 1 - 2019-07-26 2022-03-31 4 3 jeong@uber.com 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 -
semiSynthetic.py
in causalml/dataset
 646 19 2025-09-12 2025-09-12 1 1 iyarlin@gmail.com iyarlin@gmail.com
rate.py
in causalml/metrics
 155 3 2026-03-21 2026-03-21 1 1 160766756+aman-coder03@user... 160766756+aman-coder03@user...
cevae.py
in causalml/inference/torch
 64 4 2024-09-14 2024-09-14 1 1 jeongyoon.lee1@gmail.com jeongyoon.lee1@gmail.com
_typedefs.pyx
in causalml/inference/tree/_tree
 14 1 2025-01-10 2025-01-10 1 1 jeongyoon.lee1@gmail.com jeongyoon.lee1@gmail.com
pxd
_typedefs.pxd
in causalml/inference/tree/_tree
 9 - 2025-01-10 2025-01-10 1 1 jeongyoon.lee1@gmail.com jeongyoon.lee1@gmail.com
__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/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
__init__.py
in causalml/inference/torch
 1 - 2024-09-14 2024-09-14 1 1 jeongyoon.lee1@gmail.com jeongyoon.lee1@gmail.com
_splitter.pyx
in causalml/inference/tree/_tree
 1018 6 2023-10-23 2025-11-07 4 2 30959770+alexander-pv@users... 30959770+alexander-pv@users...
_criterion.pyx
in causalml/inference/tree/_tree
 861 7 2023-10-23 2025-11-07 4 2 30959770+alexander-pv@users... 30959770+alexander-pv@users...
_classes.py
in causalml/inference/tree/_tree
 399 13 2023-10-23 2026-02-01 5 2 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
pxd
_tree.pxd
in causalml/inference/tree/_tree
 94 - 2023-10-23 2025-11-07 4 2 30959770+alexander-pv@users... 30959770+alexander-pv@users...
pxd
_criterion.pxd
in causalml/inference/tree/_tree
 83 - 2023-10-23 2025-11-07 4 2 30959770+alexander-pv@users... 30959770+alexander-pv@users...
pxd
_splitter.pxd
in causalml/inference/tree/_tree
 55 - 2023-10-23 2025-11-07 4 2 30959770+alexander-pv@users... 30959770+alexander-pv@users...
utils.py
in causalml/optimize
 37 3 2020-07-14 2022-03-31 4 2 23464531+t-tte@users.norepl... 23464531+t-tte@users.norepl...
__init__.py
in causalml/inference/tree/_tree
 6 - 2023-10-23 2025-01-10 2 2 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
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
_tree.pyx
in causalml/inference/tree/_tree
 1199 29 2023-10-23 2025-11-07 5 3 30959770+alexander-pv@users... 30959770+alexander-pv@users...
_utils.pyx
in causalml/inference/tree/_tree
 230 4 2023-10-23 2026-02-01 4 3 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
utils.py
in causalml/inference/tf
 62 11 2021-06-07 2024-09-14 5 3 jeongyoon.lee1@gmail.com jeongyoon.lee1@gmail.com
pxd
_utils.pxd
in causalml/inference/tree/_tree
 55 - 2023-10-23 2025-01-10 3 3 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
pxd
_criterion.pxd
in causalml/inference/tree/causal
 43 - 2022-12-12 2025-11-07 5 3 30959770+alexander-pv@users... 30959770+alexander-pv@users...
pxd
_builder.pxd
in causalml/inference/tree/causal
 5 - 2022-12-12 2025-11-07 5 3 30959770+alexander-pv@users... 30959770+alexander-pv@users...
const.py
in causalml/metrics
 1 - 2019-07-26 2022-03-31 4 3 jeong@uber.com 23464531+t-tte@users.norepl...
__init__.py
in causalml/feature_selection
 1 - 2020-02-13 2022-03-31 5 3 zhenyuz@uber.com 23464531+t-tte@users.norepl...
_builder.pyx
in causalml/inference/tree/causal
 413 2 2022-12-12 2025-11-07 7 4 30959770+alexander-pv@users... 30959770+alexander-pv@users...
_criterion.pyx
in causalml/inference/tree/causal
 401 3 2022-12-12 2026-03-13 9 4 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
causalforest.py
in causalml/inference/tree/causal
 326 6 2022-12-12 2025-11-07 8 4 30959770+alexander-pv@users... 30959770+alexander-pv@users...
causaltree.py
in causalml/inference/tree/causal
 231 10 2022-08-21 2025-11-07 10 4 30959770+alexander-pv@users... 30959770+alexander-pv@users...
_tree.py
in causalml/inference/tree/causal
 212 4 2022-08-21 2026-02-01 12 5 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
dragonnet.py
in causalml/inference/tf
 207 9 2021-06-07 2024-01-29 7 5 jeongyoon.lee1@gmail.com 9282281+ras44@users.noreply...
policylearner.py
in causalml/optimize
 98 7 2019-07-15 2026-02-01 8 5 jeong@uber.com jeongyoon.lee1@gmail.com
regression.py
in causalml/metrics
 44 6 2019-07-26 2026-02-01 11 5 jeong@uber.com jeongyoon.lee1@gmail.com
pns.py
in causalml/optimize
 33 1 2022-03-06 2024-04-13 6 5 th.harinen@gmail.com jeongyoon.lee1@gmail.com
iv_regression.py
in causalml/inference/iv
 16 3 2020-06-23 2024-04-13 6 5 huigang@gmail.com jeongyoon.lee1@gmail.com
classification.py
in causalml/metrics
 13 2 2019-07-26 2026-02-01 11 5 jeong@uber.com jeongyoon.lee1@gmail.com
value_optimization.py
in causalml/optimize
 48 5 2020-07-14 2024-04-13 8 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 2025-07-16 11 6 23464531+t-tte@users.norepl... jeongyoon.lee1@gmail.com
sensitivity.py
in causalml/metrics
 366 24 2020-06-24 2026-03-07 12 7 ppstacy@gmail.com jeongyoon.lee1@gmail.com
tmle.py
in causalml/inference/meta
 146 7 2019-11-13 2026-02-01 16 7 jeong@uber.com jeongyoon.lee1@gmail.com
unit_selection.py
in causalml/optimize
 137 9 2020-07-14 2024-04-13 9 7 23464531+t-tte@users.norepl... jeongyoon.lee1@gmail.com
features.py
in causalml
 111 14 2019-07-15 2026-02-01 14 7 jeong@uber.com jeongyoon.lee1@gmail.com
utils.py
in causalml/inference/meta
 72 7 2019-08-27 2023-07-08 17 7 mike.yung@uber.com 65400956+volico@users.norep...
__init__.py
in causalml/optimize
 5 - 2019-07-15 2022-05-01 8 7 jeong@uber.com paullo0106@gmail.com
classification.py
in causalml/dataset
 396 13 2019-07-16 2024-10-16 13 8 zhenyuz0500@gmail.com jeongyoon.lee1@gmail.com
base.py
in causalml/inference/meta
 201 12 2021-02-02 2026-03-06 11 8 jeongyoon.lee1@gmail.com 55545648+mohsinm-dev@users....