uber / causalml
File Age & Freshness

File age measurements show the distribution of file ages (days since the first commit) and the file freshness (days since the latest commit).

Summary
File Change History Overall
File Age Distribution Overall
Days since first update
  • There are 68 files with 14,624 lines of code in files.
    • 64 files that are 366+ days old (14,536 lines of code)
    • 2 files that are 181-365 days old (65 lines of code)
    • 2 files that are 91-180 days old (23 lines of code)
    • 0 files that are 31-90 days old (0 lines of code)
    • 0 files that are 1-30 days old (0 lines of code)
99% | <1% | <1% | 0% | 0%
Legend:
366+
181-365
91-180
31-90
1-30

explore: grouped by folders | grouped by age
File Freshness Distribution Overall
Days since last update
  • There are 68 files with 14,624 lines of code in files.
    • 38 files have been last changed 366+ days ago (6,094 lines of code)
    • 9 files have been last changed 181-365 days ago (2,410 lines of code)
    • 16 files have been last changed 91-180 days ago (4,668 lines of code)
    • 5 files have been last changed 31-90 days ago (1,452 lines of code)
    • 0 files have been last changed 1-30 days ago (0 lines of code)
41% | 16% | 31% | 9% | 0%
Legend:
366+
181-365
91-180
31-90
1-30

explore: grouped by folders | grouped by freshness
File Change History per File Extension
py, ipynb, md, rst, yaml, pyx, pxd, txt, in, svg, ini, cfg, gitignore, toml, json, bib
File Age Distribution per Extension
Days since first update
366+
181-365
91-180
31-90
1-30
py99% | <1% | 0% | 0% | 0%
pyx99% | 0% | <1% | 0% | 0%
pxd97% | 0% | 2% | 0% | 0%
toml100% | 0% | 0% | 0% | 0%
in100% | 0% | 0% | 0% | 0%
cfg100% | 0% | 0% | 0% | 0%
File Freshness Distribution per Extension
Days since last update
366+
181-365
91-180
31-90
1-30
py51% | 28% | 7% | 12% | 0%
pyx30% | 0% | 63% | 5% | 0%
in100% | 0% | 0% | 0% | 0%
cfg100% | 0% | 0% | 0% | 0%
pxd0% | 0% | 100% | 0% | 0%
toml0% | 0% | 0% | 100% | 0%
File Change History per Logical Decomposition
primary
primary (file age distribution)
Days since first update
366+
181-365
91-180
31-90
1-30
causalml99% | <1% | <1% | 0% | 0%
ROOT100% | 0% | 0% | 0% | 0%
primary (file freshness distribution)
Days since last update
366+
181-365
91-180
31-90
1-30
causalml41% | 16% | 32% | 9% | 0%
ROOT44% | 0% | 0% | 55% | 0%
Oldest Files (Top 50)
File# lines# unitscreatedlast modified# changes
(days)
# contributorsfirst
contributor
latest
contributor
match.py
in causalml
324 10 2019-07-15 2024-10-07 21 11 jeong@uber.com ospohngellert@protonmail.com
tlearner.py
in causalml/inference/meta
266 11 2019-07-15 2024-04-13 43 14 jeong@uber.com jeongyoon.lee1@gmail.com
slearner.py
in causalml/inference/meta
233 14 2019-07-15 2024-04-13 42 13 jeong@uber.com jeongyoon.lee1@gmail.com
propensity.py
in causalml
120 13 2019-07-15 2025-02-24 25 11 jeong@uber.com 9282281+ras44@users.noreply...
features.py
in causalml
103 14 2019-07-15 2024-04-25 13 7 jeong@uber.com paullo0106@gmail.com
policylearner.py
in causalml/optimize
98 7 2019-07-15 2024-04-13 7 5 jeong@uber.com jeongyoon.lee1@gmail.com
setup.py
in root
46 - 2019-07-15 2024-04-18 31 15 jeong@uber.com 67915427+iandelbridge@users...
__init__.py
in causalml/inference/tree
12 - 2019-07-15 2022-12-12 12 8 jeong@uber.com 30959770+alexander-pv@users...
__init__.py
in causalml
10 - 2019-07-15 2023-07-08 27 12 jeong@uber.com jeongyoon.lee1@gmail.com
in
6 - 2019-07-15 2019-08-14 3 2 jeong@uber.com jeong@uber.com
__init__.py
in causalml/optimize
5 - 2019-07-15 2022-05-01 8 7 jeong@uber.com paullo0106@gmail.com
cfg
setup.cfg
in root
4 - 2019-07-15 2019-07-16 2 2 jeong@uber.com mike.yung@uber.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/metrics
34 - 2019-07-16 2024-02-13 15 7 mike.yung@uber.com 9282281+ras44@users.noreply...
__init__.py
in causalml/dataset
15 - 2019-07-16 2023-11-08 5 6 zhenyuz0500@gmail.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
regression.py
in causalml/metrics
44 6 2019-07-26 2022-03-31 10 4 jeong@uber.com 23464531+t-tte@users.norepl...
classification.py
in causalml/metrics
13 2 2019-07-26 2022-03-31 10 4 jeong@uber.com 23464531+t-tte@users.norepl...
const.py
in causalml/metrics
1 - 2019-07-26 2022-03-31 4 3 jeong@uber.com 23464531+t-tte@users.norepl...
rlearner.py
in causalml/inference/meta
464 12 2019-08-06 2024-08-01 55 15 jeong@uber.com jeongyoon.lee1@gmail.com
xlearner.py
in causalml/inference/meta
419 10 2019-08-06 2024-04-13 49 14 jeong@uber.com jeongyoon.lee1@gmail.com
__init__.py
in causalml/inference/meta
12 - 2019-08-19 2022-03-31 10 5 23464531+t-tte@users.norepl... 23464531+t-tte@users.norepl...
visualize.py
in causalml/metrics
596 20 2019-08-25 2024-10-16 25 11 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...
synthetic.py
in causalml/dataset
446 11 2019-08-29 2024-04-13 13 8 jeong@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
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/tree
214 7 2019-10-15 2024-04-13 14 9 zhenyuz0500@gmail.com jeongyoon.lee1@gmail.com
tmle.py
in causalml/inference/meta
152 7 2019-11-13 2024-04-13 14 7 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
__init__.py
in causalml/feature_selection
1 - 2020-02-13 2022-03-31 5 3 zhenyuz@uber.com 23464531+t-tte@users.norepl...
iv_regression.py
in causalml/inference/iv
16 3 2020-06-23 2024-04-13 6 5 huigang@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
sensitivity.py
in causalml/metrics
366 24 2020-06-24 2024-04-13 11 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
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
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...
drivlearner.py
in causalml/inference/iv
589 14 2021-02-01 2025-03-22 11 10 huigang@gmail.com 9282281+ras44@users.noreply...
drlearner.py
in causalml/inference/meta
343 8 2021-02-01 2025-03-22 12 10 huigang@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...
dragonnet.py
in causalml/inference/tf
207 9 2021-06-07 2024-01-29 7 5 jeongyoon.lee1@gmail.com 9282281+ras44@users.noreply...
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/inference/tf
1 - 2021-06-07 2021-06-07 1 1 jeongyoon.lee1@gmail.com jeongyoon.lee1@gmail.com
uplift.pyx
in causalml/inference/tree
1796 44 2021-12-13 2024-04-12 13 11 jeongyoon.lee1@gmail.com 67915427+iandelbridge@users...
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
215 10 2022-08-21 2024-07-05 9 4 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
_tree.py
in causalml/inference/tree/causal
207 3 2022-08-21 2025-01-10 9 5 30959770+alexander-pv@users... jeongyoon.lee1@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...
70 - 2022-09-20 2025-02-20 26 9 darthtrevino@users.noreply.... jeongyoon.lee1@gmail.com
_builder.pyx
in causalml/inference/tree/causal
406 2 2022-12-12 2025-01-10 6 4 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
Files Not Recently Changed (Top 50)
File# lines# unitscreatedlast modified# changes
(days)
# contributorsfirst
contributor
latest
contributor
cfg
setup.cfg
in root
4 - 2019-07-15 2019-07-16 2 2 jeong@uber.com mike.yung@uber.com
in
6 - 2019-07-15 2019-08-14 3 2 jeong@uber.com jeong@uber.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/tf
1 - 2021-06-07 2021-06-07 1 1 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...
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/inference/meta
12 - 2019-08-19 2022-03-31 10 5 23464531+t-tte@users.norepl... 23464531+t-tte@users.norepl...
classification.py
in causalml/metrics
13 2 2019-07-26 2022-03-31 10 4 jeong@uber.com 23464531+t-tte@users.norepl...
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...
regression.py
in causalml/metrics
44 6 2019-07-26 2022-03-31 10 4 jeong@uber.com 23464531+t-tte@users.norepl...
__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/tree
12 - 2019-07-15 2022-12-12 12 8 jeong@uber.com 30959770+alexander-pv@users...
__init__.py
in causalml
10 - 2019-07-15 2023-07-08 27 12 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...
base.py
in causalml/inference/meta
195 12 2021-02-02 2023-07-20 8 7 jeongyoon.lee1@gmail.com 34151358+xhulianothe1@users...
regression.py
in causalml/dataset
77 6 2019-07-17 2023-08-18 15 10 mike.yung@uber.com benjwsaunders@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/dataset
15 - 2019-07-16 2023-11-08 5 6 zhenyuz0500@gmail.com 9282281+ras44@users.noreply...
dragonnet.py
in causalml/inference/tf
207 9 2021-06-07 2024-01-29 7 5 jeongyoon.lee1@gmail.com 9282281+ras44@users.noreply...
__init__.py
in causalml/metrics
34 - 2019-07-16 2024-02-13 15 7 mike.yung@uber.com 9282281+ras44@users.noreply...
uplift.pyx
in causalml/inference/tree
1796 44 2021-12-13 2024-04-12 13 11 jeongyoon.lee1@gmail.com 67915427+iandelbridge@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
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 2024-04-13 7 5 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
tmle.py
in causalml/inference/meta
152 7 2019-11-13 2024-04-13 14 7 jeong@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
utils.py
in causalml/inference/tree
214 7 2019-10-15 2024-04-13 14 9 zhenyuz0500@gmail.com jeongyoon.lee1@gmail.com
slearner.py
in causalml/inference/meta
233 14 2019-07-15 2024-04-13 42 13 jeong@uber.com jeongyoon.lee1@gmail.com
tlearner.py
in causalml/inference/meta
266 11 2019-07-15 2024-04-13 43 14 jeong@uber.com jeongyoon.lee1@gmail.com
sensitivity.py
in causalml/metrics
366 24 2020-06-24 2024-04-13 11 7 ppstacy@gmail.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 2024-04-13 49 14 jeong@uber.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
synthetic.py
in causalml/dataset
446 11 2019-08-29 2024-04-13 13 8 jeong@uber.com jeongyoon.lee1@gmail.com
setup.py
in root
46 - 2019-07-15 2024-04-18 31 15 jeong@uber.com 67915427+iandelbridge@users...
features.py
in causalml
103 14 2019-07-15 2024-04-25 13 7 jeong@uber.com paullo0106@gmail.com
causaltree.py
in causalml/inference/tree/causal
215 10 2022-08-21 2024-07-05 9 4 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
causalforest.py
in causalml/inference/tree/causal
288 6 2022-12-12 2024-07-05 6 4 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
rlearner.py
in causalml/inference/meta
464 12 2019-08-06 2024-08-01 55 15 jeong@uber.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
utils.py
in causalml/inference/tf
62 11 2021-06-07 2024-09-14 5 3 jeongyoon.lee1@gmail.com jeongyoon.lee1@gmail.com
cevae.py
in causalml/inference/torch
64 4 2024-09-14 2024-09-14 1 1 jeongyoon.lee1@gmail.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
classification.py
in causalml/dataset
396 13 2019-07-16 2024-10-16 13 8 zhenyuz0500@gmail.com jeongyoon.lee1@gmail.com
visualize.py
in causalml/metrics
596 20 2019-08-25 2024-10-16 25 11 jeong@uber.com jeongyoon.lee1@gmail.com
pxd
_builder.pxd
in causalml/inference/tree/causal
5 - 2022-12-12 2025-01-10 4 3 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
__init__.py
in causalml/inference/tree/_tree
6 - 2023-10-23 2025-01-10 2 2 30959770+alexander-pv@users... 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
Most Recently Created Files (Top 50)
File# lines# unitscreatedlast modified# changes
(days)
# contributorsfirst
contributor
latest
contributor
__init__.py
in causalml/inference
1 -
_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
cevae.py
in causalml/inference/torch
64 4 2024-09-14 2024-09-14 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
_tree.pyx
in causalml/inference/tree/_tree
1203 29 2023-10-23 2025-01-10 4 3 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
_splitter.pyx
in causalml/inference/tree/_tree
1025 6 2023-10-23 2025-01-10 3 2 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
_criterion.pyx
in causalml/inference/tree/_tree
865 7 2023-10-23 2025-01-10 3 2 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
_classes.py
in causalml/inference/tree/_tree
397 13 2023-10-23 2025-01-10 3 2 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
_utils.pyx
in causalml/inference/tree/_tree
222 4 2023-10-23 2025-01-10 3 3 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
pxd
_tree.pxd
in causalml/inference/tree/_tree
96 - 2023-10-23 2025-01-10 3 2 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
pxd
_criterion.pxd
in causalml/inference/tree/_tree
85 - 2023-10-23 2025-01-10 3 2 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
pxd
_splitter.pxd
in causalml/inference/tree/_tree
57 - 2023-10-23 2025-01-10 3 2 30959770+alexander-pv@users... 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
__init__.py
in causalml/inference/tree/_tree
6 - 2023-10-23 2025-01-10 2 2 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
_builder.pyx
in causalml/inference/tree/causal
406 2 2022-12-12 2025-01-10 6 4 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
_criterion.pyx
in causalml/inference/tree/causal
330 - 2022-12-12 2025-02-16 7 4 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
causalforest.py
in causalml/inference/tree/causal
288 6 2022-12-12 2024-07-05 6 4 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
pxd
_criterion.pxd
in causalml/inference/tree/causal
16 - 2022-12-12 2025-01-10 4 3 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
pxd
_builder.pxd
in causalml/inference/tree/causal
5 - 2022-12-12 2025-01-10 4 3 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
70 - 2022-09-20 2025-02-20 26 9 darthtrevino@users.noreply.... jeongyoon.lee1@gmail.com
causaltree.py
in causalml/inference/tree/causal
215 10 2022-08-21 2024-07-05 9 4 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
_tree.py
in causalml/inference/tree/causal
207 3 2022-08-21 2025-01-10 9 5 30959770+alexander-pv@users... jeongyoon.lee1@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...
pns.py
in causalml/optimize
33 1 2022-03-06 2024-04-13 6 5 th.harinen@gmail.com jeongyoon.lee1@gmail.com
uplift.pyx
in causalml/inference/tree
1796 44 2021-12-13 2024-04-12 13 11 jeongyoon.lee1@gmail.com 67915427+iandelbridge@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...
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/inference/tf
1 - 2021-06-07 2021-06-07 1 1 jeongyoon.lee1@gmail.com jeongyoon.lee1@gmail.com
base.py
in causalml/inference/meta
195 12 2021-02-02 2023-07-20 8 7 jeongyoon.lee1@gmail.com 34151358+xhulianothe1@users...
drivlearner.py
in causalml/inference/iv
589 14 2021-02-01 2025-03-22 11 10 huigang@gmail.com 9282281+ras44@users.noreply...
drlearner.py
in causalml/inference/meta
343 8 2021-02-01 2025-03-22 12 10 huigang@gmail.com 9282281+ras44@users.noreply...
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
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
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...
sensitivity.py
in causalml/metrics
366 24 2020-06-24 2024-04-13 11 7 ppstacy@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
__init__.py
in causalml/inference/iv
2 - 2020-06-23 2021-02-01 2 1 huigang@gmail.com huigang@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
__init__.py
in causalml/feature_selection
1 - 2020-02-13 2022-03-31 5 3 zhenyuz@uber.com 23464531+t-tte@users.norepl...
tmle.py
in causalml/inference/meta
152 7 2019-11-13 2024-04-13 14 7 jeong@uber.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
utils.py
in causalml/inference/tree
214 7 2019-10-15 2024-04-13 14 9 zhenyuz0500@gmail.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
synthetic.py
in causalml/dataset
446 11 2019-08-29 2024-04-13 13 8 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...
visualize.py
in causalml/metrics
596 20 2019-08-25 2024-10-16 25 11 jeong@uber.com jeongyoon.lee1@gmail.com
__init__.py
in causalml/inference/meta
12 - 2019-08-19 2022-03-31 10 5 23464531+t-tte@users.norepl... 23464531+t-tte@users.norepl...
rlearner.py
in causalml/inference/meta
464 12 2019-08-06 2024-08-01 55 15 jeong@uber.com jeongyoon.lee1@gmail.com
xlearner.py
in causalml/inference/meta
419 10 2019-08-06 2024-04-13 49 14 jeong@uber.com jeongyoon.lee1@gmail.com
Most Recently Changed Files (Top 50)
File# lines# unitscreatedlast modified# changes
(days)
# contributorsfirst
contributor
latest
contributor
__init__.py
in causalml/inference
1 -
drivlearner.py
in causalml/inference/iv
589 14 2021-02-01 2025-03-22 11 10 huigang@gmail.com 9282281+ras44@users.noreply...
drlearner.py
in causalml/inference/meta
343 8 2021-02-01 2025-03-22 12 10 huigang@gmail.com 9282281+ras44@users.noreply...
propensity.py
in causalml
120 13 2019-07-15 2025-02-24 25 11 jeong@uber.com 9282281+ras44@users.noreply...
70 - 2022-09-20 2025-02-20 26 9 darthtrevino@users.noreply.... jeongyoon.lee1@gmail.com
_criterion.pyx
in causalml/inference/tree/causal
330 - 2022-12-12 2025-02-16 7 4 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
_tree.pyx
in causalml/inference/tree/_tree
1203 29 2023-10-23 2025-01-10 4 3 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
_splitter.pyx
in causalml/inference/tree/_tree
1025 6 2023-10-23 2025-01-10 3 2 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
_criterion.pyx
in causalml/inference/tree/_tree
865 7 2023-10-23 2025-01-10 3 2 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
_builder.pyx
in causalml/inference/tree/causal
406 2 2022-12-12 2025-01-10 6 4 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
_classes.py
in causalml/inference/tree/_tree
397 13 2023-10-23 2025-01-10 3 2 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
_utils.pyx
in causalml/inference/tree/_tree
222 4 2023-10-23 2025-01-10 3 3 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
_tree.py
in causalml/inference/tree/causal
207 3 2022-08-21 2025-01-10 9 5 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
pxd
_tree.pxd
in causalml/inference/tree/_tree
96 - 2023-10-23 2025-01-10 3 2 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
pxd
_criterion.pxd
in causalml/inference/tree/_tree
85 - 2023-10-23 2025-01-10 3 2 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
pxd
_splitter.pxd
in causalml/inference/tree/_tree
57 - 2023-10-23 2025-01-10 3 2 30959770+alexander-pv@users... 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
16 - 2022-12-12 2025-01-10 4 3 30959770+alexander-pv@users... 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/tree/_tree
6 - 2023-10-23 2025-01-10 2 2 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
pxd
_builder.pxd
in causalml/inference/tree/causal
5 - 2022-12-12 2025-01-10 4 3 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
visualize.py
in causalml/metrics
596 20 2019-08-25 2024-10-16 25 11 jeong@uber.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
match.py
in causalml
324 10 2019-07-15 2024-10-07 21 11 jeong@uber.com ospohngellert@protonmail.com
cevae.py
in causalml/inference/torch
64 4 2024-09-14 2024-09-14 1 1 jeongyoon.lee1@gmail.com 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
__init__.py
in causalml/inference/torch
1 - 2024-09-14 2024-09-14 1 1 jeongyoon.lee1@gmail.com jeongyoon.lee1@gmail.com
rlearner.py
in causalml/inference/meta
464 12 2019-08-06 2024-08-01 55 15 jeong@uber.com jeongyoon.lee1@gmail.com
causalforest.py
in causalml/inference/tree/causal
288 6 2022-12-12 2024-07-05 6 4 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
causaltree.py
in causalml/inference/tree/causal
215 10 2022-08-21 2024-07-05 9 4 30959770+alexander-pv@users... jeongyoon.lee1@gmail.com
features.py
in causalml
103 14 2019-07-15 2024-04-25 13 7 jeong@uber.com paullo0106@gmail.com
setup.py
in root
46 - 2019-07-15 2024-04-18 31 15 jeong@uber.com 67915427+iandelbridge@users...
synthetic.py
in causalml/dataset
446 11 2019-08-29 2024-04-13 13 8 jeong@uber.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
xlearner.py
in causalml/inference/meta
419 10 2019-08-06 2024-04-13 49 14 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
sensitivity.py
in causalml/metrics
366 24 2020-06-24 2024-04-13 11 7 ppstacy@gmail.com jeongyoon.lee1@gmail.com
tlearner.py
in causalml/inference/meta
266 11 2019-07-15 2024-04-13 43 14 jeong@uber.com jeongyoon.lee1@gmail.com
slearner.py
in causalml/inference/meta
233 14 2019-07-15 2024-04-13 42 13 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
explainer.py
in causalml/inference/meta
165 11 2019-10-07 2024-04-13 24 16 mike.yung@uber.com jeongyoon.lee1@gmail.com
tmle.py
in causalml/inference/meta
152 7 2019-11-13 2024-04-13 14 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
policylearner.py
in causalml/optimize
98 7 2019-07-15 2024-04-13 7 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
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
uplift.pyx
in causalml/inference/tree
1796 44 2021-12-13 2024-04-12 13 11 jeongyoon.lee1@gmail.com 67915427+iandelbridge@users...
__init__.py
in causalml/metrics
34 - 2019-07-16 2024-02-13 15 7 mike.yung@uber.com 9282281+ras44@users.noreply...