aws-samples / amazon-sagemaker-build-train-deploy
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 22 files with 1,601 lines of code.
    • 0 files changed more than 100 times (0 lines of code)
    • 0 files changed 51-100 times (0 lines of code)
    • 0 files changed 21-50 times (0 lines of code)
    • 0 files changed 6-20 times (0 lines of code)
    • 22 files changed 1-5 times (1,601 lines of code)
0% | 0% | 0% | 0% | 100%
Legend:
101+
51-100
21-50
6-20
1-5

Detailed data...

File Change Frequency per File Extension
py, md, ipynb, yaml, txt, gitignore, json
File Change Frequency per Extension
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
py0% | 0% | 0% | 0% | 100%
yaml0% | 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
setup0% | 0% | 0% | 0% | 100%
08_projects/modelbuild/pipelines/endtoendmlsm0% | 0% | 0% | 0% | 100%
03_train_model/source_dir0% | 0% | 0% | 0% | 100%
04_deploy_model0% | 0% | 0% | 0% | 100%
08_projects/modelbuild/pipelines/endtoendmlsm/deploy0% | 0% | 0% | 0% | 100%
08_projects/modelbuild/pipelines/endtoendmlsm/dataprep0% | 0% | 0% | 0% | 100%
02_data_exploration_and_feature_eng/source_dir0% | 0% | 0% | 0% | 100%
08_projects/modelbuild/pipelines/endtoendmlsm/train0% | 0% | 0% | 0% | 100%
04_deploy_model/sklearn_source_dir0% | 0% | 0% | 0% | 100%
04_deploy_model/xgboost_source_dir0% | 0% | 0% | 0% | 100%
02_data_exploration_and_feature_eng0% | 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
training.py
in 03_train_model/source_dir
64 2 85 529 4
training_debug.py
in 03_train_model/source_dir
70 2 85 529 4
inference.py
in 04_deploy_model/sklearn_source_dir
38 4 85 529 3
preprocessor.py
in 02_data_exploration_and_feature_eng/source_dir
66 - 85 529 3
workflow.py
in 08_projects/modelbuild/pipelines/endtoendmlsm
232 5 85 147 3
inference.py
in 04_deploy_model/xgboost_source_dir
34 3 288 529 2
inference.py
in 08_projects/modelbuild/pipelines/endtoendmlsm/deploy/sklearn
38 4 85 147 2
train.py
in 08_projects/modelbuild/pipelines/endtoendmlsm/train
64 2 85 147 2
preprocess.py
in 08_projects/modelbuild/pipelines/endtoendmlsm/dataprep
66 - 85 147 2
create_studio_domain.yaml
in setup
270 - 183 288 2
__init__.py
in 08_projects/modelbuild/pipelines/endtoendmlsm
1 - 147 147 1
__init__.py
in 08_projects/modelbuild/pipelines/endtoendmlsm/deploy
1 - 147 147 1
__init__.py
in 08_projects/modelbuild/pipelines/endtoendmlsm/deploy/xgboost
1 - 147 147 1
__init__.py
in 08_projects/modelbuild/pipelines/endtoendmlsm/deploy/sklearn
1 - 147 147 1
__init__.py
in 08_projects/modelbuild/pipelines/endtoendmlsm/dataprep
1 - 147 147 1
__init__.py
in 08_projects/modelbuild/pipelines/endtoendmlsm/train
1 - 147 147 1
postprocessor.py
in 04_deploy_model
2 1 529 529 1
notebook_utilities.py
in 04_deploy_model
14 2 529 529 1
notebook_utilities.py
in 02_data_exploration_and_feature_eng
25 1 529 529 1
inference.py
in 08_projects/modelbuild/pipelines/endtoendmlsm/deploy/xgboost
34 3 147 147 1