GoogleCloudPlatform / practical-ml-vision-book
File Change Frequency

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

Overview
File Change Frequency Overall
  • There are 35 files with 6,144 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)
    • 1 file changed 6-20 times (606 lines of code)
    • 34 files changed 1-5 times (5,538 lines of code)
0% | 0% | 0% | 9% | 90%
Legend:
101+
51-100
21-50
6-20
1-5

explore: grouped by folders | grouped by update frequency | data
Contributors Count Frequency Overall
  • There are 35 files with 6,144 lines of code.
    • 0 files changed by more than 25 contributors (0 lines of code)
    • 0 files changed by 11-25 contributors (0 lines of code)
    • 1 file changed by 6-10 contributors (535 lines of code)
    • 19 files changed by 2-5 contributors (4,857 lines of code)
    • 15 files changed by 1 contributor (752 lines of code)
0% | 0% | 8% | 79% | 12%
Legend:
26+
11-25
6-10
2-5
1

explore: grouped by folders | grouped by contributors count | data
File Change Frequency per File Extension
ipynb, sh, py, gitignore, yaml, md, txt, json, html
File Change Frequency per Extension
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
ipynb0% | 0% | 0% | 13% | 86%
py0% | 0% | 0% | 0% | 100%
yaml0% | 0% | 0% | 0% | 100%
html0% | 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
09_deploying0% | 0% | 0% | 39% | 60%
07_training0% | 0% | 0% | 0% | 100%
05_create_dataset0% | 0% | 0% | 0% | 100%
10_mlops0% | 0% | 0% | 0% | 100%
04_detect_segment0% | 0% | 0% | 0% | 100%
06_preprocessing0% | 0% | 0% | 0% | 100%
03_image_models0% | 0% | 0% | 0% | 100%
11_adv_problems0% | 0% | 0% | 0% | 100%
Most Frequently Changed Files (Top 35)

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)
# contributorsfirst
contributor
latest
contributor
09b_rest.ipynb
in 09_deploying
606 - 2021-01-21 2025-01-15 6 5 lak@vlakshman.com takumiohym@google.com
jpeg_to_tfrecord.py
in 05_create_dataset
133 8 2020-12-24 2021-01-11 5 1 lak@vlakshman.com lak@vlakshman.com
535 - 2021-03-14 2025-01-15 5 6 lak@vlakshman.com takumiohym@google.com
05_split_tfrecord.ipynb
in 05_create_dataset
592 - 2020-12-23 2025-01-15 5 4 lak@vlakshman.com takumiohym@google.com
09d_bytes.ipynb
in 09_deploying
678 - 2021-01-22 2025-01-15 5 5 lak@vlakshman.com takumiohym@google.com
07d_distribute.ipynb
in 07_training
517 - 2020-12-31 2025-01-15 4 4 lak@vlakshman.com takumiohym@google.com
07a_ingest.ipynb
in 07_training
942 - 2020-12-29 2025-01-15 4 3 lak@vlakshman.com takumiohym@google.com
train_model_caip.yaml
in 10_mlops/components
20 - 2021-03-14 2021-07-21 3 3 lak@vlakshman.com ryangillard@google.com
train_model_kfp.yaml
in 10_mlops/components
20 - 2021-03-14 2021-07-21 3 3 lak@vlakshman.com ryangillard@google.com
noop_create_dataset.yaml
in 10_mlops/components
21 - 2021-03-14 2021-07-21 3 3 lak@vlakshman.com ryangillard@google.com
create_dataset.yaml
in 10_mlops/components
27 - 2021-03-14 2021-07-21 3 3 lak@vlakshman.com ryangillard@google.com
train.py
in 07_training/serverlessml/flowers/classifier
114 1 2021-01-01 2025-01-15 3 3 lak@vlakshman.com takumiohym@google.com
jpeg_to_tfrecord_tft.py
in 06_preprocessing
187 11 2021-01-11 2021-01-13 3 1 lak@vlakshman.com lak@vlakshman.com
05_label_images.ipynb
in 05_create_dataset
376 - 2020-12-22 2025-01-15 3 4 lak@vlakshman.com takumiohym@google.com
cpu.yaml
in 07_training/serverlessml
13 - 2021-01-01 2021-07-21 2 2 lak@vlakshman.com ryangillard@google.com
gpus_one_machine.yaml
in 07_training/serverlessml
15 - 2021-01-01 2021-07-21 2 2 lak@vlakshman.com ryangillard@google.com
gpus_multiple_machines.yaml
in 07_training/serverlessml
19 - 2021-01-01 2021-07-21 2 2 lak@vlakshman.com ryangillard@google.com
util.py
in 07_training/serverlessml/flowers/utils
34 2 2021-01-01 2021-07-21 2 2 lak@vlakshman.com ryangillard@google.com
hparam.yaml
in 07_training/serverlessml
56 - 2021-01-01 2021-07-21 2 2 lak@vlakshman.com ryangillard@google.com
tfrecords.py
in 07_training/serverlessml/flowers/ingest
61 6 2021-01-01 2021-01-03 2 1 lak@vlakshman.com lak@vlakshman.com
flowers.py
in 03_image_models
132 8 2021-11-30 2025-01-15 2 3 martin.gorner@gmail.com takumiohym@google.com
144 - 2021-12-05 2021-12-09 2 1 lakshmanok@gmail.com lakshmanok@gmail.com
09e_tflite.ipynb
in 09_deploying
251 - 2021-01-26 2025-01-15 2 3 lak@vlakshman.com takumiohym@google.com
utils_box.py
in 04_detect_segment
424 41 2021-07-09 2021-07-21 2 2 martin.gorner@gmail.com ryangillard@google.com
__init__.py
in 07_training/serverlessml/flowers/classifier
1 - 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
__init__.py
in 07_training/serverlessml/flowers
1 - 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
__init__.py
in 07_training/serverlessml/flowers/utils
1 - 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
__init__.py
in 07_training/serverlessml/flowers/ingest
1 - 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
setup.py
in 07_training/serverlessml
9 - 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
tpu_caip.yaml
in 07_training/serverlessml
9 - 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
augment.py
in 07_training/serverlessml/flowers/utils
19 2 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
plots.py
in 07_training/serverlessml/flowers/utils
20 1 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
hparam-continue.yaml
in 07_training/serverlessml
35 - 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
11b_posenet.html
in 11_adv_problems
56 - 2021-03-14 2021-03-14 1 1 lak@vlakshman.com lak@vlakshman.com
model.py
in 07_training/serverlessml/flowers/classifier
75 2 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
Files With Most Contributors (Top 35)
Based on the number of unique email addresses found in commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)
# contributorsfirst
contributor
latest
contributor
535 - 2021-03-14 2025-01-15 5 6 lak@vlakshman.com takumiohym@google.com
09b_rest.ipynb
in 09_deploying
606 - 2021-01-21 2025-01-15 6 5 lak@vlakshman.com takumiohym@google.com
09d_bytes.ipynb
in 09_deploying
678 - 2021-01-22 2025-01-15 5 5 lak@vlakshman.com takumiohym@google.com
05_split_tfrecord.ipynb
in 05_create_dataset
592 - 2020-12-23 2025-01-15 5 4 lak@vlakshman.com takumiohym@google.com
07d_distribute.ipynb
in 07_training
517 - 2020-12-31 2025-01-15 4 4 lak@vlakshman.com takumiohym@google.com
05_label_images.ipynb
in 05_create_dataset
376 - 2020-12-22 2025-01-15 3 4 lak@vlakshman.com takumiohym@google.com
07a_ingest.ipynb
in 07_training
942 - 2020-12-29 2025-01-15 4 3 lak@vlakshman.com takumiohym@google.com
train.py
in 07_training/serverlessml/flowers/classifier
114 1 2021-01-01 2025-01-15 3 3 lak@vlakshman.com takumiohym@google.com
create_dataset.yaml
in 10_mlops/components
27 - 2021-03-14 2021-07-21 3 3 lak@vlakshman.com ryangillard@google.com
train_model_kfp.yaml
in 10_mlops/components
20 - 2021-03-14 2021-07-21 3 3 lak@vlakshman.com ryangillard@google.com
train_model_caip.yaml
in 10_mlops/components
20 - 2021-03-14 2021-07-21 3 3 lak@vlakshman.com ryangillard@google.com
noop_create_dataset.yaml
in 10_mlops/components
21 - 2021-03-14 2021-07-21 3 3 lak@vlakshman.com ryangillard@google.com
flowers.py
in 03_image_models
132 8 2021-11-30 2025-01-15 2 3 martin.gorner@gmail.com takumiohym@google.com
09e_tflite.ipynb
in 09_deploying
251 - 2021-01-26 2025-01-15 2 3 lak@vlakshman.com takumiohym@google.com
hparam.yaml
in 07_training/serverlessml
56 - 2021-01-01 2021-07-21 2 2 lak@vlakshman.com ryangillard@google.com
gpus_one_machine.yaml
in 07_training/serverlessml
15 - 2021-01-01 2021-07-21 2 2 lak@vlakshman.com ryangillard@google.com
util.py
in 07_training/serverlessml/flowers/utils
34 2 2021-01-01 2021-07-21 2 2 lak@vlakshman.com ryangillard@google.com
cpu.yaml
in 07_training/serverlessml
13 - 2021-01-01 2021-07-21 2 2 lak@vlakshman.com ryangillard@google.com
gpus_multiple_machines.yaml
in 07_training/serverlessml
19 - 2021-01-01 2021-07-21 2 2 lak@vlakshman.com ryangillard@google.com
utils_box.py
in 04_detect_segment
424 41 2021-07-09 2021-07-21 2 2 martin.gorner@gmail.com ryangillard@google.com
jpeg_to_tfrecord.py
in 05_create_dataset
133 8 2020-12-24 2021-01-11 5 1 lak@vlakshman.com lak@vlakshman.com
jpeg_to_tfrecord_tft.py
in 06_preprocessing
187 11 2021-01-11 2021-01-13 3 1 lak@vlakshman.com lak@vlakshman.com
tfrecords.py
in 07_training/serverlessml/flowers/ingest
61 6 2021-01-01 2021-01-03 2 1 lak@vlakshman.com lak@vlakshman.com
144 - 2021-12-05 2021-12-09 2 1 lakshmanok@gmail.com lakshmanok@gmail.com
hparam-continue.yaml
in 07_training/serverlessml
35 - 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
tpu_caip.yaml
in 07_training/serverlessml
9 - 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
__init__.py
in 07_training/serverlessml/flowers/ingest
1 - 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
__init__.py
in 07_training/serverlessml/flowers/utils
1 - 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
plots.py
in 07_training/serverlessml/flowers/utils
20 1 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
augment.py
in 07_training/serverlessml/flowers/utils
19 2 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
__init__.py
in 07_training/serverlessml/flowers
1 - 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
__init__.py
in 07_training/serverlessml/flowers/classifier
1 - 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
model.py
in 07_training/serverlessml/flowers/classifier
75 2 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
setup.py
in 07_training/serverlessml
9 - 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
11b_posenet.html
in 11_adv_problems
56 - 2021-03-14 2021-03-14 1 1 lak@vlakshman.com lak@vlakshman.com
Files With Least Contributors (Top 35)
Based on the number of unique email addresses found in commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)
# contributorsfirst
contributor
latest
contributor
jpeg_to_tfrecord_tft.py
in 06_preprocessing
187 11 2021-01-11 2021-01-13 3 1 lak@vlakshman.com lak@vlakshman.com
144 - 2021-12-05 2021-12-09 2 1 lakshmanok@gmail.com lakshmanok@gmail.com
jpeg_to_tfrecord.py
in 05_create_dataset
133 8 2020-12-24 2021-01-11 5 1 lak@vlakshman.com lak@vlakshman.com
model.py
in 07_training/serverlessml/flowers/classifier
75 2 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
tfrecords.py
in 07_training/serverlessml/flowers/ingest
61 6 2021-01-01 2021-01-03 2 1 lak@vlakshman.com lak@vlakshman.com
11b_posenet.html
in 11_adv_problems
56 - 2021-03-14 2021-03-14 1 1 lak@vlakshman.com lak@vlakshman.com
hparam-continue.yaml
in 07_training/serverlessml
35 - 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
plots.py
in 07_training/serverlessml/flowers/utils
20 1 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
augment.py
in 07_training/serverlessml/flowers/utils
19 2 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
tpu_caip.yaml
in 07_training/serverlessml
9 - 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
setup.py
in 07_training/serverlessml
9 - 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
__init__.py
in 07_training/serverlessml/flowers/ingest
1 - 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
__init__.py
in 07_training/serverlessml/flowers/utils
1 - 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
__init__.py
in 07_training/serverlessml/flowers
1 - 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
__init__.py
in 07_training/serverlessml/flowers/classifier
1 - 2021-01-01 2021-01-01 1 1 lak@vlakshman.com lak@vlakshman.com
utils_box.py
in 04_detect_segment
424 41 2021-07-09 2021-07-21 2 2 martin.gorner@gmail.com ryangillard@google.com
hparam.yaml
in 07_training/serverlessml
56 - 2021-01-01 2021-07-21 2 2 lak@vlakshman.com ryangillard@google.com
util.py
in 07_training/serverlessml/flowers/utils
34 2 2021-01-01 2021-07-21 2 2 lak@vlakshman.com ryangillard@google.com
gpus_multiple_machines.yaml
in 07_training/serverlessml
19 - 2021-01-01 2021-07-21 2 2 lak@vlakshman.com ryangillard@google.com
gpus_one_machine.yaml
in 07_training/serverlessml
15 - 2021-01-01 2021-07-21 2 2 lak@vlakshman.com ryangillard@google.com
cpu.yaml
in 07_training/serverlessml
13 - 2021-01-01 2021-07-21 2 2 lak@vlakshman.com ryangillard@google.com
07a_ingest.ipynb
in 07_training
942 - 2020-12-29 2025-01-15 4 3 lak@vlakshman.com takumiohym@google.com
09e_tflite.ipynb
in 09_deploying
251 - 2021-01-26 2025-01-15 2 3 lak@vlakshman.com takumiohym@google.com
flowers.py
in 03_image_models
132 8 2021-11-30 2025-01-15 2 3 martin.gorner@gmail.com takumiohym@google.com
train.py
in 07_training/serverlessml/flowers/classifier
114 1 2021-01-01 2025-01-15 3 3 lak@vlakshman.com takumiohym@google.com
create_dataset.yaml
in 10_mlops/components
27 - 2021-03-14 2021-07-21 3 3 lak@vlakshman.com ryangillard@google.com
noop_create_dataset.yaml
in 10_mlops/components
21 - 2021-03-14 2021-07-21 3 3 lak@vlakshman.com ryangillard@google.com
train_model_kfp.yaml
in 10_mlops/components
20 - 2021-03-14 2021-07-21 3 3 lak@vlakshman.com ryangillard@google.com
train_model_caip.yaml
in 10_mlops/components
20 - 2021-03-14 2021-07-21 3 3 lak@vlakshman.com ryangillard@google.com
05_split_tfrecord.ipynb
in 05_create_dataset
592 - 2020-12-23 2025-01-15 5 4 lak@vlakshman.com takumiohym@google.com
07d_distribute.ipynb
in 07_training
517 - 2020-12-31 2025-01-15 4 4 lak@vlakshman.com takumiohym@google.com
05_label_images.ipynb
in 05_create_dataset
376 - 2020-12-22 2025-01-15 3 4 lak@vlakshman.com takumiohym@google.com
09d_bytes.ipynb
in 09_deploying
678 - 2021-01-22 2025-01-15 5 5 lak@vlakshman.com takumiohym@google.com
09b_rest.ipynb
in 09_deploying
606 - 2021-01-21 2025-01-15 6 5 lak@vlakshman.com takumiohym@google.com
535 - 2021-03-14 2025-01-15 5 6 lak@vlakshman.com takumiohym@google.com
Correlations

File Size vs. Number of Changes: 35 points

03_image_models/flowers.py x: 132 lines of code y: 2 # changes 05_create_dataset/05_label_images.ipynb x: 376 lines of code y: 3 # changes 05_create_dataset/05_split_tfrecord.ipynb x: 592 lines of code y: 5 # changes 07_training/07a_ingest.ipynb x: 942 lines of code y: 4 # changes 07_training/07d_distribute.ipynb x: 517 lines of code y: 4 # changes 07_training/serverlessml/flowers/classifier/train.py x: 114 lines of code y: 3 # changes 09_deploying/09b_rest.ipynb x: 606 lines of code y: 6 # changes 09_deploying/09d_bytes.ipynb x: 678 lines of code y: 5 # changes 09_deploying/09e_tflite.ipynb x: 251 lines of code y: 2 # changes 10_mlops/10a_mlpipeline.ipynb x: 535 lines of code y: 5 # changes 04_detect_segment/04a_retinanet_anthropods_download.ipynb x: 144 lines of code y: 2 # changes 04_detect_segment/utils_box.py x: 424 lines of code y: 2 # changes 10_mlops/components/create_dataset.yaml x: 27 lines of code y: 3 # changes 10_mlops/components/noop_create_dataset.yaml x: 21 lines of code y: 3 # changes 10_mlops/components/train_model_caip.yaml x: 20 lines of code y: 3 # changes 07_training/serverlessml/cpu.yaml x: 13 lines of code y: 2 # changes 07_training/serverlessml/flowers/utils/util.py x: 34 lines of code y: 2 # changes 07_training/serverlessml/gpus_multiple_machines.yaml x: 19 lines of code y: 2 # changes 07_training/serverlessml/gpus_one_machine.yaml x: 15 lines of code y: 2 # changes 07_training/serverlessml/hparam.yaml x: 56 lines of code y: 2 # changes 11_adv_problems/11b_posenet.html x: 56 lines of code y: 1 # changes 06_preprocessing/jpeg_to_tfrecord_tft.py x: 187 lines of code y: 3 # changes 05_create_dataset/jpeg_to_tfrecord.py x: 133 lines of code y: 5 # changes 07_training/serverlessml/flowers/ingest/tfrecords.py x: 61 lines of code y: 2 # changes 07_training/serverlessml/flowers/__init__.py x: 1 lines of code y: 1 # changes 07_training/serverlessml/flowers/classifier/model.py x: 75 lines of code y: 1 # changes 07_training/serverlessml/flowers/utils/augment.py x: 19 lines of code y: 1 # changes 07_training/serverlessml/hparam-continue.yaml x: 35 lines of code y: 1 # changes 07_training/serverlessml/setup.py x: 9 lines of code y: 1 # changes
6.0
# changes
  min: 1.0
  average: 2.46
  25th percentile: 1.0
  median: 2.0
  75th percentile: 3.0
  max: 6.0
0 942.0
lines of code
min: 1.0 | average: 175.54 | 25th percentile: 19.0 | median: 56.0 | 75th percentile: 251.0 | max: 942.0

Number of Contributors vs. Number of Changes: 35 points

03_image_models/flowers.py x: 3 # contributors y: 2 # changes 05_create_dataset/05_label_images.ipynb x: 4 # contributors y: 3 # changes 05_create_dataset/05_split_tfrecord.ipynb x: 4 # contributors y: 5 # changes 07_training/07a_ingest.ipynb x: 3 # contributors y: 4 # changes 07_training/07d_distribute.ipynb x: 4 # contributors y: 4 # changes 07_training/serverlessml/flowers/classifier/train.py x: 3 # contributors y: 3 # changes 09_deploying/09b_rest.ipynb x: 5 # contributors y: 6 # changes 09_deploying/09d_bytes.ipynb x: 5 # contributors y: 5 # changes 10_mlops/10a_mlpipeline.ipynb x: 6 # contributors y: 5 # changes 04_detect_segment/04a_retinanet_anthropods_download.ipynb x: 1 # contributors y: 2 # changes 04_detect_segment/utils_box.py x: 2 # contributors y: 2 # changes 11_adv_problems/11b_posenet.html x: 1 # contributors y: 1 # changes 06_preprocessing/jpeg_to_tfrecord_tft.py x: 1 # contributors y: 3 # changes 05_create_dataset/jpeg_to_tfrecord.py x: 1 # contributors y: 5 # changes
6.0
# changes
  min: 1.0
  average: 2.46
  25th percentile: 1.0
  median: 2.0
  75th percentile: 3.0
  max: 6.0
0 6.0
# contributors
min: 1.0 | average: 2.26 | 25th percentile: 1.0 | median: 2.0 | 75th percentile: 3.0 | max: 6.0

Number of Contributors vs. File Size: 35 points

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942.0
lines of code
  min: 1.0
  average: 175.54
  25th percentile: 19.0
  median: 56.0
  75th percentile: 251.0
  max: 942.0
0 6.0
# contributors
min: 1.0 | average: 2.26 | 25th percentile: 1.0 | median: 2.0 | 75th percentile: 3.0 | max: 6.0