aws-samples / amazon-sagemaker-examples-jp
File Age

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

Summary
  • Number of files: 37
  • Daily file updates (only one update per file and date counted): 11132
  • First update: 2019-03-11
  • Latest update: 2021-08-20
  • Days between first and latest update: 894 (127 weeks, estimated 635 working days)
  • Active days (at least one file change): 129
  • Data:
File Change History Overall
File Age Distribution Overall
Days since first update
  • There are 37 files with 2,718 lines of code in files.
    • 15 files that are 366+ days old (962 lines of code)
    • 20 files that are 181-365 days old (1,608 lines of code)
    • 2 files that are 91-180 days old (148 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)
35% | 59% | 5% | 0% | 0%
Legend:
366+
181-365
91-180
31-90
1-30
Latest Change Distribution Overall
Days since last update
  • There are 37 files with 2,718 lines of code in files.
    • 12 files have been last changed 366+ days ago (527 lines of code)
    • 17 files have been last changed 181-365 days ago (1,767 lines of code)
    • 8 files have been last changed 91-180 days ago (424 lines of code)
    • 0 files have been last changed 31-90 days ago (0 lines of code)
    • 0 files have been last changed 1-30 days ago (0 lines of code)
19% | 65% | 15% | 0% | 0%
Legend:
366+
181-365
91-180
31-90
1-30
File Change History per File Extension
html, py, ipynb, md, yaml, css, sh, js, json, svg, gitignore, txt, xml, h, meta
File Age Distribution per Extension
Days since first update
366+
181-365
91-180
31-90
1-30
py39% | 60% | 0% | 0% | 0%
html100% | 0% | 0% | 0% | 0%
yaml0% | 100% | 0% | 0% | 0%
h0% | 0% | 100% | 0% | 0%
meta0% | 0% | 100% | 0% | 0%
Latest Change Distribution per Extension
Days since last update
366+
181-365
91-180
31-90
1-30
py20% | 68% | 11% | 0% | 0%
html100% | 0% | 0% | 0% | 0%
yaml0% | 90% | 9% | 0% | 0%
h0% | 0% | 100% | 0% | 0%
meta0% | 0% | 100% | 0% | 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
autogluon58% | 41% | 0% | 0% | 0%
hpo_pytorch_mnist100% | 0% | 0% | 0% | 0%
nlp_amazon_review100% | 0% | 0% | 0% | 0%
amazon_forecast_tutorial100% | 0% | 0% | 0% | 0%
sagemaker_processing100% | 0% | 0% | 0% | 0%
tensorflow2_training_and_serving100% | 0% | 0% | 0% | 0%
distributed_training0% | 100% | 0% | 0% | 0%
edge_inference0% | 66% | 33% | 0% | 0%
sagemaker-experiments0% | 100% | 0% | 0% | 0%
workshop0% | 100% | 0% | 0% | 0%
mlops0% | 100% | 0% | 0% | 0%
primary (latest change distribution)
Days since last update
366+
181-365
91-180
31-90
1-30
nlp_amazon_review100% | 0% | 0% | 0% | 0%
amazon_forecast_tutorial100% | 0% | 0% | 0% | 0%
sagemaker_processing100% | 0% | 0% | 0% | 0%
hpo_pytorch_mnist27% | 72% | 0% | 0% | 0%
tensorflow2_training_and_serving100% | 0% | 0% | 0% | 0%
distributed_training0% | 100% | 0% | 0% | 0%
autogluon0% | 100% | 0% | 0% | 0%
sagemaker-experiments0% | 100% | 0% | 0% | 0%
workshop0% | 100% | 0% | 0% | 0%
mlops0% | 100% | 0% | 0% | 0%
edge_inference0% | 4% | 95% | 0% | 0%
Oldest Files (Top 20)
File# lines# unitslast modified
(days ago)		created
(days ago)		# changes
mnist.py
in hpo_pytorch_mnist
 153 9 304 889 3
input.html
in hpo_pytorch_mnist
 58 - 889 889 1
train_and_deploy.py
in nlp_amazon_review/GluonNLP_BERT/src
 121 2 564 829 5
transform.py
in nlp_amazon_review/GluonNLP_BERT/src/bert/data
 36 2 586 829 3
classification.py
in nlp_amazon_review/GluonNLP_BERT/src/bert/model
 32 4 586 829 3
__init__.py
in nlp_amazon_review/GluonNLP_BERT/src/bert/model
 1 - 586 829 3
__init__.py
in nlp_amazon_review/GluonNLP_BERT/src/bert/data
 1 - 586 829 3
fcst_utils.py
in amazon_forecast_tutorial/common/util
 104 7 586 631 3
notebook_utils.py
in amazon_forecast_tutorial/common/util
 30 4 586 631 3
__init__.py
in amazon_forecast_tutorial/common/util
 2 - 586 631 3
train.py
in autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training
 191 6 365 511 3
inference.py
in autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training
 91 5 365 511 4
preprocess.py
in sagemaker_processing/processing_with_bring_your_own_container_for_beginner/preprocess_script
 51 1 385 385 1
mnist.py
in tensorflow2_training_and_serving
 48 3 385 385 1
preprocess.py
in sagemaker_processing/processing_with_bring_your_own_container_for_beginner/container/preprocess_code
 43 1 385 385 1
ag_utils.py
in autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/utils
 200 14 365 365 1
cnn_mnist_after.py
in workshop/lab_bring-your-own-model/tensorflow
 92 4 355 355 1
cnn_mnist_before.py
in workshop/lab_bring-your-own-model/tensorflow
 72 2 355 355 1
train_pytorch_single_maskrcnn.py
in distributed_training
 235 5 218 252 3
train_pytorch_smdataparallel_maskrcnn.py
in distributed_training
 233 5 218 252 3
Files Not Recently Changed (Top 20)
File# lines# unitslast modified
(days ago)		created
(days ago)		# changes
input.html
in hpo_pytorch_mnist
 58 - 889 889 1
__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
transform.py
in nlp_amazon_review/GluonNLP_BERT/src/bert/data
 36 2 586 829 3
fcst_utils.py
in amazon_forecast_tutorial/common/util
 104 7 586 631 3
train_and_deploy.py
in nlp_amazon_review/GluonNLP_BERT/src
 121 2 564 829 5
preprocess.py
in sagemaker_processing/processing_with_bring_your_own_container_for_beginner/container/preprocess_code
 43 1 385 385 1
mnist.py
in tensorflow2_training_and_serving
 48 3 385 385 1
preprocess.py
in sagemaker_processing/processing_with_bring_your_own_container_for_beginner/preprocess_script
 51 1 385 385 1
inference.py
in autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training
 91 5 365 511 4
train.py
in autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training
 191 6 365 511 3
ag_utils.py
in autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/utils
 200 14 365 365 1
cnn_mnist_before.py
in workshop/lab_bring-your-own-model/tensorflow
 72 2 355 355 1
cnn_mnist_after.py
in workshop/lab_bring-your-own-model/tensorflow
 92 4 355 355 1
mnist.py
in hpo_pytorch_mnist
 153 9 304 889 3
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
Most Recently Created Files (Top 20)
File# lines# unitslast modified
(days ago)		created
(days ago)		# changes
dlr.h
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.IoTPublisher/1.0.1/classifier
 115 - 180 180 1
meta
compiled.meta
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.IoTPublisher/1.0.1/classifier
 33 - 173 180 3
mnist_train.py
in sagemaker-experiments/pytorch_mnist/src
 153 9 184 184 1
mnist_deploy.py
in sagemaker-experiments/pytorch_mnist/src
 28 3 184 184 1
classifier_train.py
in edge_inference/greengrass-ml-inference/src
 73 4 180 216 2
subscriber.py
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.Subscriber/1.0.0
 49 4 180 216 2
IoTPublisher.py
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.IoTPublisher/1.0.0
 46 1 180 216 2
IoTPublisher.py
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.IoTPublisher/1.0.1
 45 1 175 216 3
publisher.py
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.Publisher/1.0.0
 41 - 180 216 2
com.example.Publisher-1.0.0.yaml
in edge_inference/greengrass-ml-inference/src/ggv2/components/recipes
 22 - 180 216 2
com.example.Subscriber-1.0.0.yaml
in edge_inference/greengrass-ml-inference/src/ggv2/components/recipes
 22 - 216 216 1
preprocess.py
in mlops/sagemaker-pipelines/sagemaker-pipelines-sample/preprocess
 64 1 218 219 2
postprocess.py
in mlops/sagemaker-pipelines/sagemaker-pipelines-sample/postprocess
 53 2 218 219 2
e2e_mask_rcnn_R_50_FPN_1x_64GPU_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
e2e_mask_rcnn_R_50_FPN_1x_32GPU_4bs.yaml
in distributed_training
 45 - 218 244 2
e2e_mask_rcnn_R_50_FPN_1x_8GPU_4bs.yaml
in distributed_training
 45 - 218 244 2
train_pytorch_single_maskrcnn.py
in distributed_training
 235 5 218 252 3
train_pytorch_smdataparallel_maskrcnn.py
in distributed_training
 233 5 218 252 3
cnn_mnist_after.py
in workshop/lab_bring-your-own-model/tensorflow
 92 4 355 355 1
Most Recently Changed Files (Top 20)
File# lines# unitslast modified
(days ago)		created
(days ago)		# changes
meta
compiled.meta
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.IoTPublisher/1.0.1/classifier
 33 - 173 180 3
IoTPublisher.py
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.IoTPublisher/1.0.1
 45 1 175 216 3
dlr.h
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.IoTPublisher/1.0.1/classifier
 115 - 180 180 1
classifier_train.py
in edge_inference/greengrass-ml-inference/src
 73 4 180 216 2
subscriber.py
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.Subscriber/1.0.0
 49 4 180 216 2
IoTPublisher.py
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.IoTPublisher/1.0.0
 46 1 180 216 2
publisher.py
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.Publisher/1.0.0
 41 - 180 216 2
com.example.Publisher-1.0.0.yaml
in edge_inference/greengrass-ml-inference/src/ggv2/components/recipes
 22 - 180 216 2
mnist_train.py
in sagemaker-experiments/pytorch_mnist/src
 153 9 184 184 1
mnist_deploy.py
in sagemaker-experiments/pytorch_mnist/src
 28 3 184 184 1
com.example.Subscriber-1.0.0.yaml
in edge_inference/greengrass-ml-inference/src/ggv2/components/recipes
 22 - 216 216 1
train_pytorch_single_maskrcnn.py
in distributed_training
 235 5 218 252 3
train_pytorch_smdataparallel_maskrcnn.py
in distributed_training
 233 5 218 252 3
preprocess.py
in mlops/sagemaker-pipelines/sagemaker-pipelines-sample/preprocess
 64 1 218 219 2
postprocess.py
in mlops/sagemaker-pipelines/sagemaker-pipelines-sample/postprocess
 53 2 218 219 2
e2e_mask_rcnn_R_50_FPN_1x_64GPU_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
e2e_mask_rcnn_R_50_FPN_1x_32GPU_4bs.yaml
in distributed_training
 45 - 218 244 2
e2e_mask_rcnn_R_50_FPN_1x_8GPU_4bs.yaml
in distributed_training
 45 - 218 244 2
mnist.py
in hpo_pytorch_mnist
 153 9 304 889 3