awslabs / autogluon
File Change Frequency

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

File Change Frequency Overall
File Change Frequency Overall
The number of recorded file updates
  • There are 282 files with 27,748 lines of code.
    • 0 files changed more than 100 times (0 lines of code)
    • 0 files changed 51-100 times (0 lines of code)
    • 17 files changed 21-50 times (6,600 lines of code)
    • 47 files changed 6-20 times (8,329 lines of code)
    • 218 files changed 1-5 times (12,819 lines of code)
0% | 0% | 23% | 30% | 46%
Legend:
101+
51-100
21-50
6-20
1-5

Detailed data...

File Change Frequency per File Extension
py, rst, md, yml, sh, txt, ipynb, svg, gitignore, js, html, css, ini, cfg, json
File Change Frequency per Extension
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
py0% | 0% | 23% | 30% | 46%
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
tabular/src0% | 0% | 34% | 16% | 49%
core/src0% | 0% | 26% | 46% | 27%
vision/src0% | 0% | 24% | 22% | 53%
tabular0% | 0% | 100% | 0% | 0%
core0% | 0% | 98% | 0% | 2%
text/src0% | 0% | 0% | 57% | 42%
features/src0% | 0% | 0% | 24% | 75%
vision0% | 0% | 0% | 100% | 0%
text0% | 0% | 0% | 100% | 0%
features0% | 0% | 0% | 100% | 0%
autogluon0% | 0% | 0% | 100% | 0%
common/src0% | 0% | 0% | 0% | 100%
common0% | 0% | 0% | 0% | 100%
forecasting0% | 0% | 0% | 0% | 100%
ROOT0% | 0% | 0% | 0% | 100%
forecasting/src0% | 0% | 0% | 0% | 100%
autogluon/src0% | 0% | 0% | 0% | 100%
Most Frequently Changed Files (Top 20)

See data for all files...

File# lines# unitslast modified
(days ago)		created
(days ago)		# changes
predictor.py
in tabular/src/autogluon/tabular/predictor
 1239 69 8 375 48
tabular_nn_fastai.py
in tabular/src/autogluon/tabular/models/fastainn
 363 19 33 468 39
abstract_model.py
in core/src/autogluon/core/models/abstract
 689 72 12 369 36
presets.py
in tabular/src/autogluon/tabular/trainer/model_presets
 317 5 12 468 34
setup.py
in core
 49 - 6 475 30
setup.py
in tabular
 60 - 20 475 30
utils.py
in core/src/autogluon/core/utils
 621 32 20 475 30
catboost_model.py
in tabular/src/autogluon/tabular/models/catboost
 181 12 5 468 28
predictor.py
in vision/src/autogluon/vision/predictor
 437 17 18 357 28
bagged_ensemble_model.py
in core/src/autogluon/core/models/ensemble
 837 53 46 364 28
rf_model.py
in tabular/src/autogluon/tabular/models/rf
 254 19 50 468 27
lgb_model.py
in tabular/src/autogluon/tabular/models/lgb
 279 15 29 468 27
auto_trainer.py
in tabular/src/autogluon/tabular/trainer
 72 4 141 468 26
abstract_learner.py
in tabular/src/autogluon/tabular/learner
 693 40 22 468 26
_setup_utils.py
in core/src/autogluon/core
 113 5 6 349 24
xgboost_model.py
in tabular/src/autogluon/tabular/models/xgboost
 175 16 8 446 21
knn_model.py
in tabular/src/autogluon/tabular/models/knn
 221 21 50 468 21
setup.py
in text
 27 - 33 475 20
setup.py
in vision
 28 - 33 475 18
lr_model.py
in tabular/src/autogluon/tabular/models/lr
 174 16 50 468 18