aws-samples / amazon-sagemaker-examples-jp
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 37 files with 2,718 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)
    • 37 files changed 1-5 times (2,718 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
html, py, ipynb, md, yaml, css, sh, js, json, svg, gitignore, txt, xml, h, meta
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%
h0% | 0% | 0% | 0% | 100%
html0% | 0% | 0% | 0% | 100%
meta0% | 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
distributed_training0% | 0% | 0% | 0% | 100%
autogluon0% | 0% | 0% | 0% | 100%
edge_inference0% | 0% | 0% | 0% | 100%
hpo_pytorch_mnist0% | 0% | 0% | 0% | 100%
nlp_amazon_review0% | 0% | 0% | 0% | 100%
sagemaker-experiments0% | 0% | 0% | 0% | 100%
workshop0% | 0% | 0% | 0% | 100%
amazon_forecast_tutorial0% | 0% | 0% | 0% | 100%
mlops0% | 0% | 0% | 0% | 100%
sagemaker_processing0% | 0% | 0% | 0% | 100%
tensorflow2_training_and_serving0% | 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
train_and_deploy.py
in nlp_amazon_review/GluonNLP_BERT/src
121 2 564 829 5
inference.py
in autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training
91 5 365 511 4
__init__.py
in nlp_amazon_review/GluonNLP_BERT/src/bert/data
1 - 586 829 3
__init__.py
in nlp_amazon_review/GluonNLP_BERT/src/bert/model
1 - 586 829 3
__init__.py
in amazon_forecast_tutorial/common/util
2 - 586 631 3
notebook_utils.py
in amazon_forecast_tutorial/common/util
30 4 586 631 3
classification.py
in nlp_amazon_review/GluonNLP_BERT/src/bert/model
32 4 586 829 3
meta
compiled.meta
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.IoTPublisher/1.0.1/classifier
33 - 173 180 3
transform.py
in nlp_amazon_review/GluonNLP_BERT/src/bert/data
36 2 586 829 3
IoTPublisher.py
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.IoTPublisher/1.0.1
45 1 175 216 3
fcst_utils.py
in amazon_forecast_tutorial/common/util
104 7 586 631 3
mnist.py
in hpo_pytorch_mnist
153 9 304 889 3
train.py
in autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training
191 6 365 511 3
train_pytorch_smdataparallel_maskrcnn.py
in distributed_training
233 5 218 252 3
train_pytorch_single_maskrcnn.py
in distributed_training
235 5 218 252 3
com.example.Publisher-1.0.0.yaml
in edge_inference/greengrass-ml-inference/src/ggv2/components/recipes
22 - 180 216 2
publisher.py
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.Publisher/1.0.0
41 - 180 216 2
e2e_mask_rcnn_R_50_FPN_1x_8GPU_4bs.yaml
in distributed_training
45 - 218 244 2
e2e_mask_rcnn_R_50_FPN_1x_32GPU_4bs.yaml
in distributed_training
45 - 218 244 2
e2e_mask_rcnn_R_50_FPN_1x_16GPU_4bs.yaml
in distributed_training
45 - 218 244 2