aws-samples / aws-ml-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 68 files with 4,814 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)
    • 68 files changed 1-5 times (4,814 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, ipynb, md, sh, yaml, json, txt, h, meta, html
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
sagemaker/sagemaker-inference0% | 0% | 0% | 0% | 100%
vision/amazon-sagemaker-pytorch-detectron20% | 0% | 0% | 0% | 100%
sagemaker/distributed-training0% | 0% | 0% | 0% | 100%
autogluon/tabular-prediction0% | 0% | 0% | 0% | 100%
inference/edge0% | 0% | 0% | 0% | 100%
sagemaker/hpo-pytorch-mnist0% | 0% | 0% | 0% | 100%
nlp/nlp_amazon_review0% | 0% | 0% | 0% | 100%
sagemaker/sagemaker-experiments0% | 0% | 0% | 0% | 100%
sagemaker/workshop0% | 0% | 0% | 0% | 100%
ai-services/forecast0% | 0% | 0% | 0% | 100%
mlops/sagemaker-pipelines0% | 0% | 0% | 0% | 100%
sagemaker/sagemaker-processing0% | 0% | 0% | 0% | 100%
mlops/edge-deploy0% | 0% | 0% | 0% | 100%
sagemaker/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
run.py
in vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/evaluation
 1 - 143 143 1
__init__.py
in vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/evaluation
 1 - 143 143 1
__init__.py
in vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/engine
 1 - 143 143 1
__init__.py
in vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k
 1 - 143 143 1
__init__.py
in nlp/nlp_amazon_review/GluonNLP_BERT/src/bert/data
 1 - 165 165 1
__init__.py
in nlp/nlp_amazon_review/GluonNLP_BERT/src/bert/model
 1 - 165 165 1
wsgi.py
in sagemaker/sagemaker-inference/tensorflow/container/tfserve
 2 - 40 40 1
__init__.py
in ai-services/forecast/amazon_forecast_tutorial/common/util
 2 - 165 165 1
inference.py
in sagemaker/sagemaker-inference/pytorch/code_inf1
 8 1 116 116 1
inference.py
in sagemaker/sagemaker-inference/tensorflow/code
 14 2 40 40 1
inference.py
in sagemaker/sagemaker-inference/pytorch/code_mme
 15 1 116 116 1
inference.py
in sagemaker/sagemaker-inference/pytorch/code_byoc
 15 1 116 116 1
model.py
in sagemaker/sagemaker-inference/pytorch/code_mme
 18 2 116 116 1
model.py
in sagemaker/sagemaker-inference/pytorch/code_lambda
 18 2 116 116 1
model.py
in sagemaker/sagemaker-inference/pytorch/code_async
 18 2 116 116 1
model.py
in sagemaker/sagemaker-inference/pytorch/code_byoc
 18 2 116 116 1
model.py
in sagemaker/sagemaker-inference/pytorch/code_inf1
 18 2 116 116 1
run.py
in mlops/edge-deploy/artifacts
 22 - 116 116 1
com.example.Subscriber-1.0.0.yaml
in inference/edge/greengrass-ml-inference/src/ggv2/components/recipes
 22 - 165 165 1
com.example.Publisher-1.0.0.yaml
in inference/edge/greengrass-ml-inference/src/ggv2/components/recipes
 22 - 165 165 1